Triple

T7102324
Position Surface form Disambiguated ID Type / Status
Subject Bogor Regency E165487 entity
Predicate locatedInAdministrativeTerritory P40 FINISHED
Object Java E3958 NE FINISHED

How this triple was built (2 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: [Bogor Regency, locatedInAdministrativeTerritory, Java]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Java
Context triple: [Bogor Regency, locatedInAdministrativeTerritory, 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 (Dzau)
    Java (Dzau) is a town in South Ossetia that serves as an important regional center and transport hub in the mountainous area north of Tskhinvali.
  • D. Javakade
    Javakade is a waterfront street on Amsterdam’s Java Island known for its modern residential architecture and harborside views.
  • E. Planjava
    Planjava is a prominent mountain peak in Slovenia’s Kamnik–Savinja Alps, known for its steep faces and popularity among climbers and hikers.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c6887fcddc8190a5d58908f6dee590 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e588aee08190bfb3d96135c0a322 completed March 27, 2026, 8:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c79ca9b58c8190a91023de6811b21a completed March 28, 2026, 9:17 a.m.
Created at: March 27, 2026, 2:42 p.m.