Triple

T1694682
Position Surface form Disambiguated ID Type / Status
Subject Indonesian archipelago E36629 entity
Predicate capitalCityLocatedOn P6670 FINISHED
Object Jakarta on Java 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: Jakarta on Java | Statement: [Indonesian archipelago, capitalCityLocatedOn, Jakarta on Java]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jakarta on Java
Context triple: [Indonesian archipelago, capitalCityLocatedOn, Jakarta on Java]
  • A. 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.
  • B. Lombok
    Lombok is an Indonesian island east of Bali, known for its volcanic Mount Rinjani, beaches, and Sasak culture.
  • C. Javakade
    Javakade is a waterfront street on Amsterdam’s Java Island known for its modern residential architecture and harborside views.
  • D. Greater Jakarta
    Greater Jakarta is Indonesia’s largest metropolitan area, encompassing Jakarta and its surrounding cities and suburbs as the country’s primary political, economic, and urban hub.
  • E. Paris van Java
    Paris van Java is a popular nickname for the Indonesian city of Bandung, highlighting its reputation as a fashionable, European-influenced center of shopping, culture, and cool climate tourism.
  • 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_69a886163dec8190859c514232a37a05 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa62b3b8908190afc3f9e4a384684f completed March 6, 2026, 5:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad7998e1108190aa7430cd4ef887d9 completed March 8, 2026, 1:28 p.m.
Created at: March 4, 2026, 7:29 p.m.