Triple

T11297367
Position Surface form Disambiguated ID Type / Status
Subject Faculty of Mathematics and Natural Sciences, University of Indonesia E267487 entity
Predicate city P40 FINISHED
Object Depok E175029 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: Depok | Statement: [Faculty of Mathematics and Natural Sciences, University of Indonesia, city, Depok]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Depok
Context triple: [Faculty of Mathematics and Natural Sciences, University of Indonesia, city, Depok]
  • A. Depok chosen
    Depok is a rapidly growing commuter city in Indonesia located between Jakarta and Bogor, known for its universities and residential developments.
  • B. Bekasi
    Bekasi is a large, rapidly growing industrial and residential city in the Greater Jakarta metropolitan area of Indonesia.
  • C. Bogor
    Bogor is a city on the Indonesian island of Java known for its cool climate, botanical gardens, and role as a major educational and research center.
  • D. Bogor Regency
    Bogor Regency is an administrative region in West Java, Indonesia, that encircles the city of Bogor and is known for its rapidly growing suburban and rural communities.
  • E. Tangerang
    Tangerang is a major urban and industrial city in Indonesia located just west of Jakarta on the island of Java.
  • 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_69d6aac993a08190a6f36445ebaf9a43 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9a262e08190a7c1eacbc6019496 completed April 9, 2026, 6:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5e8b19b1c8190bc9147a9fc73e35b completed April 20, 2026, 8:49 a.m.
Created at: April 8, 2026, 9:32 p.m.