Triple

T6780464
Position Surface form Disambiguated ID Type / Status
Subject Tanah Kusir Cemetery E155667 entity
Predicate locatedOn 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: [Tanah Kusir Cemetery, locatedOn, Java]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Java
Context triple: [Tanah Kusir Cemetery, locatedOn, 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. Java Virtual Machine
    The Java Virtual Machine (JVM) is a platform-independent runtime environment that executes compiled Java bytecode and enables languages like Java, Kotlin, and Groovy to run on diverse hardware and operating systems.
  • 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_69c688162bf8819088b664b5c3b5be7a completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d26b32c0819093f86b1002260660 completed March 27, 2026, 6:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69c712aa0b148190955c58af69849cc4 completed March 27, 2026, 11:28 p.m.
Created at: March 27, 2026, 2:14 p.m.