Triple

T22889997
Position Surface form Disambiguated ID Type / Status
Subject Central Jakarta E567710 entity
Predicate contains P35 FINISHED
Object Gambir Station 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: Gambir Station | Statement: [Central Jakarta, contains, Gambir Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gambir Station
Context triple: [Central Jakarta, contains, Gambir Station]
  • A. Gambir railway station chosen
    Gambir railway station is a major central railway hub in Jakarta, Indonesia, serving intercity and commuter trains and providing key access to the city’s administrative and historical core.
  • B. Bogor Station
    Bogor Station is a major railway station and commuter rail terminus serving the city of Bogor and the greater Jakarta metropolitan area in Indonesia.
  • C. Banjar Station
    Banjar Station is a railway station in Banjar, West Java, Indonesia, serving as a key junction and endpoint for regional and intercity train services.
  • D. Semantan station
    Semantan station is an elevated rapid transit stop in Kuala Lumpur, Malaysia, serving the city’s MRT Kajang Line.
  • E. Sentul station
    Sentul station is a key commuter rail station in Kuala Lumpur, Malaysia, serving as an important node on the KTM Komuter network.
  • 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_69e2458a92ec81908fc1cd5f6407d2ab completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17fc479d48190a8218eceaebd6cc8 completed April 29, 2026, 3:49 a.m.
Created at: April 17, 2026, 3:40 p.m.