Triple

T184911
Position Surface form Disambiguated ID Type / Status
Subject Cultivation System E3959 entity
Predicate appliedInRegion P908 FINISHED
Object Java E3958 NE FINISHED

How this triple was built (3 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: Java | Statement: [Cultivation System, appliedInRegion, Java]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Java
Context triple: [Cultivation System, appliedInRegion, Java]
  • A. Java chosen
    Java is a large, densely populated island in Indonesia that has long served as the country’s political and economic center.
  • B. Java
    Java is a widely used, object-oriented programming language known for its platform independence and extensive use in enterprise, web, and mobile application development.
  • C. Java Sea
    The Java Sea is a shallow, tropical marginal sea in Indonesia, lying between the islands of Java and Borneo and known for its busy shipping routes and rich marine biodiversity.
  • D. JavaScript
    JavaScript is a high-level, dynamic programming language primarily used to create interactive and dynamic content on web pages.
  • E. Kotlin
    Kotlin is a modern, statically typed programming language developed by JetBrains that runs on the JVM and is widely used for building Android applications.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: appliedInRegion
Context triple: [Cultivation System, appliedInRegion, Java]
  • A. usedInRegion chosen
    Indicates that something is utilized or applied within a specific geographic or administrative region.
  • B. appliesAt
    Indicates that an action, rule, or condition is relevant to or in effect at a specific location, context, or point in time.
  • C. hasRegion
    Indicates that an entity includes, contains, or is associated with a specific geographic or administrative region as part of its scope or structure.
  • D. appliesAcross
    Indicates that a condition, rule, or property holds uniformly over multiple items, cases, or contexts.
  • E. appliesToPosition
    Indicates that something (such as a rule, condition, or attribute) is relevant or applicable to a specific position or role.
  • F. None of above.

Provenance (4 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_69a25497e2f08190a040f8c6e1842643 completed Feb. 28, 2026, 2:36 a.m.
NER Named-entity recognition batch_69a2592867108190b5d316c055575449 completed Feb. 28, 2026, 2:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69a30285b0488190aaa9634bc9168c4c completed Feb. 28, 2026, 2:58 p.m.
PD Predicate disambiguation batch_69a2566fb08c81908faff2fde552105d completed Feb. 28, 2026, 2:43 a.m.
Created at: Feb. 28, 2026, 2:40 a.m.