Triple

T18347970
Position Surface form Disambiguated ID Type / Status
Subject Tumpang E439591 entity
Predicate partOf P40 FINISHED
Object Java Island NE NERFINISHED

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: [Tumpang, partOf, Java Island]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Java Island
Context triple: [Tumpang, partOf, Java Island]
  • A. Javo
    Javo is a character from the game Monkey Grip, likely depicted as a distinctive figure within its cast.
  • B. 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.
  • 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. 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.
  • E. Javakade
    Javakade is a waterfront street on Amsterdam’s Java Island known for its modern residential architecture and harborside views.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9175fec8190af865699b4e64d8c completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e514f594f88190a683e6224e091593 completed April 19, 2026, 5:46 p.m.
Created at: April 10, 2026, 10:37 a.m.