Triple

T9095559
Position Surface form Disambiguated ID Type / Status
Subject Tulungagung E218009 entity
Predicate partOf 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: [Tulungagung, partOf, Java Island]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Java Island
Context triple: [Tulungagung, partOf, Java Island]
  • A. 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.
  • B. Javo
    Javo is a character from the game Monkey Grip, likely depicted as a distinctive figure within its cast.
  • C. 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.
  • D. 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.
  • E. 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.
  • 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_69ca83d9844081908e561e367fda6d45 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc96b650648190a8f59cee402d12aa completed April 1, 2026, 3:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0180f70b88190a2d3dc49f32f0c2e completed April 3, 2026, 7:42 p.m.
Created at: March 30, 2026, 7:14 p.m.