Triple

T380473
Position Surface form Disambiguated ID Type / Status
Subject SGML E8666 entity
Predicate basedOn P98 FINISHED
Object GML
GML (Geography Markup Language) is an XML-based standard developed by the Open Geospatial Consortium for modeling, transporting, and storing geographic information and spatial features.
 E48510 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: GML | Statement: [SGML, basedOn, GML]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: GML
Context triple: [SGML, basedOn, GML]
  • A. GLC
    GLC is the National Rail station code for Glasgow Central, a major railway terminus in Glasgow, Scotland.
  • B. GAC
    The GAC is a committee within the Internet Corporation for Assigned Names and Numbers (ICANN) that provides governments and intergovernmental organizations with a formal voice in global internet governance and policy development.
  • C. LPC
    The LPC is New York City’s official agency responsible for identifying, designating, and regulating the city’s landmarks and historic districts.
  • D. .cl
    .cl is the country code top-level domain (ccTLD) assigned to Chile for use on the internet.
  • E. CGA
    CGA (Color Graphics Adapter) is IBM's early color display standard for the original IBM PC, capable of low-resolution graphics and basic color text output.
  • 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: GML
Triple: [SGML, basedOn, GML]
Generated description
GML (Geography Markup Language) is an XML-based standard developed by the Open Geospatial Consortium for modeling, transporting, and storing geographic information and spatial features.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: GML
Target entity description: GML (Geography Markup Language) is an XML-based standard developed by the Open Geospatial Consortium for modeling, transporting, and storing geographic information and spatial features.
  • A. GLC
    GLC is the National Rail station code for Glasgow Central, a major railway terminus in Glasgow, Scotland.
  • B. GAC
    The GAC is a committee within the Internet Corporation for Assigned Names and Numbers (ICANN) that provides governments and intergovernmental organizations with a formal voice in global internet governance and policy development.
  • C. LPC
    The LPC is New York City’s official agency responsible for identifying, designating, and regulating the city’s landmarks and historic districts.
  • D. .cl
    .cl is the country code top-level domain (ccTLD) assigned to Chile for use on the internet.
  • E. CGA
    CGA (Color Graphics Adapter) is IBM's early color display standard for the original IBM PC, capable of low-resolution graphics and basic color text output.
  • 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_69a2e7f47dd08190a4e294ccbbe46cd4 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ec2c95088190a603bb1ee076ebd6 completed Feb. 28, 2026, 1:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3faffa5848190b77503516f3d0ba6 completed March 1, 2026, 8:38 a.m.
NEDg Description generation batch_69a3fb912d9881909d8eb02cdae70163 completed March 1, 2026, 8:40 a.m.
NED2 Entity disambiguation (via description) batch_69a3fd99e73c8190b5a92856ca0a4b82 completed March 1, 2026, 8:49 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.