Triple

T6940361
Position Surface form Disambiguated ID Type / Status
Subject Puncak Pass E160657 entity
Predicate locatedOn P40 FINISHED
Object Java island E130552 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 island | Statement: [Puncak Pass, locatedOn, Java island]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Java island
Context triple: [Puncak Pass, locatedOn, Java island]
  • A. Java Island (Java-eiland)
    Java Island (Java-eiland) is a modern, artificially created residential peninsula in Amsterdam known for its contemporary architecture and waterfront urban design.
  • B. 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.
  • C. Java (Indonesian island) chosen
    Java is a major Indonesian island that is the political and economic heart of the country, home to the capital Jakarta and one of the world’s largest populations.
  • D. island of Java
    The island of Java is Indonesia’s most populous and economically significant island, home to the capital city Jakarta and a major center of culture, politics, and industry in Southeast Asia.
  • E. Island World
    Island World is a film and television production company known for developing and producing screen content.
  • 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_69c6884f3db4819080ad65da69386206 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6da641ce08190a133c9ba4977755d completed March 27, 2026, 7:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69c76185c1d08190938d9065eb323100 completed March 28, 2026, 5:05 a.m.
Created at: March 27, 2026, 2:28 p.m.