Triple

T569227
Position Surface form Disambiguated ID Type / Status
Subject Kawi script E13623 entity
Predicate usedIn P98 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: [Kawi script, usedIn, Java]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Java
Context triple: [Kawi script, usedIn, 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. AVA
    AVA is a designated American wine grape-growing region recognized for its unique geographic and climatic features that influence the character of wines produced there.
  • D. 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.
  • E. JSP
    JSP is the commonly used abbreviation for the Japan Socialist Party, a former major left-wing political party in Japan.
  • 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_69a4933fa4d88190a7949cc83c08c5c1 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49b0406d481908af5fc7bc67103fb completed March 1, 2026, 8:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4fc81d6d4819090d91560efaa085d completed March 2, 2026, 2:57 a.m.
Created at: March 1, 2026, 7:33 p.m.