Triple

T4000249
Position Surface form Disambiguated ID Type / Status
Subject S-101 E89396 entity
Predicate uses P98 FINISHED
Object S-100 feature catalogue framework
The S-100 feature catalogue framework is a standardized model and methodology developed by the IHO for defining, organizing, and encoding geospatial features and attributes in modern hydrographic and marine information products.
E406458 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: S-100 feature catalogue framework | Statement: [S-101, uses, S-100 feature catalogue framework]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: S-100 feature catalogue framework
Context triple: [S-101, uses, S-100 feature catalogue framework]
  • A. The Structure of Appearance
    The Structure of Appearance is a 1951 philosophical work by Nelson Goodman that develops a rigorous nominalist system for analyzing the structure of experience and phenomenal qualities.
  • B. Object Modeling Technique
    Object Modeling Technique (OMT) is an early object-oriented analysis and design methodology that introduced structured notations for modeling systems, helping lay the groundwork for what became the Unified Modeling Language (UML).
  • C. Kanade–Lucas–Tomasi feature tracker
    The Kanade–Lucas–Tomasi feature tracker is a widely used computer vision algorithm for robustly tracking distinctive image features across video frames, building on the Lucas–Kanade optical flow method with Tomasi’s feature selection criteria.
  • D. Objectory
    Objectory is an object-oriented software development methodology created by Ivar Jacobson that introduced use cases and significantly shaped modern modeling approaches later incorporated into UML.
  • E. Simple Knowledge Organization System
    The Simple Knowledge Organization System (SKOS) is a W3C standard model for representing and sharing knowledge organization systems such as thesauri, classification schemes, and taxonomies on the Semantic Web.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: S-100 feature catalogue framework
Triple: [S-101, uses, S-100 feature catalogue framework]
Generated description
The S-100 feature catalogue framework is a standardized model and methodology developed by the IHO for defining, organizing, and encoding geospatial features and attributes in modern hydrographic and marine information products.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: S-100 feature catalogue framework
Target entity description: The S-100 feature catalogue framework is a standardized model and methodology developed by the IHO for defining, organizing, and encoding geospatial features and attributes in modern hydrographic and marine information products.
  • A. The Structure of Appearance
    The Structure of Appearance is a 1951 philosophical work by Nelson Goodman that develops a rigorous nominalist system for analyzing the structure of experience and phenomenal qualities.
  • B. Object Modeling Technique
    Object Modeling Technique (OMT) is an early object-oriented analysis and design methodology that introduced structured notations for modeling systems, helping lay the groundwork for what became the Unified Modeling Language (UML).
  • C. Kanade–Lucas–Tomasi feature tracker
    The Kanade–Lucas–Tomasi feature tracker is a widely used computer vision algorithm for robustly tracking distinctive image features across video frames, building on the Lucas–Kanade optical flow method with Tomasi’s feature selection criteria.
  • D. Objectory
    Objectory is an object-oriented software development methodology created by Ivar Jacobson that introduced use cases and significantly shaped modern modeling approaches later incorporated into UML.
  • E. Simple Knowledge Organization System
    The Simple Knowledge Organization System (SKOS) is a W3C standard model for representing and sharing knowledge organization systems such as thesauri, classification schemes, and taxonomies on the Semantic Web.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69aed9585e788190bec2d39deba3750f completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefa417c408190a9aa4875e417011d completed March 9, 2026, 4:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69b54c5b17c48190b8fd2a6728a65b10 completed March 14, 2026, 11:54 a.m.
NEDg Description generation batch_69b54d41fa008190972411203c8a07f2 completed March 14, 2026, 11:57 a.m.
NED2 Entity disambiguation (via description) batch_69b54de8dc708190b83978b15aed2e13 completed March 14, 2026, noon
Created at: March 9, 2026, 3:34 p.m.