Triple

T8111023
Position Surface form Disambiguated ID Type / Status
Subject Jatinegara E189348 entity
Predicate contains P35 FINISHED
Object Jatinegara Station E630884 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: Jatinegara Station | Statement: [Jatinegara, contains, Jatinegara Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jatinegara Station
Context triple: [Jatinegara, contains, Jatinegara Station]
  • A. Jatinegara Station chosen
    Jatinegara Station is a major railway hub in East Jakarta, Indonesia, serving as a key interchange for commuter and intercity train services in the Greater Jakarta area.
  • B. Depok Station
    Depok Station is a commuter and intercity railway station in Depok, West Java, Indonesia, serving as a key hub on the Jakarta metropolitan rail network.
  • C. 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.
  • D. Cikarang Station
    Cikarang Station is a railway station in Cikarang, West Java, Indonesia, serving as a key commuter and intercity rail hub in the eastern Greater Jakarta area.
  • E. Bojong Gede Station
    Bojong Gede Station is a commuter rail station serving the Bojong Gede area in the Greater Jakarta region of Indonesia.
  • 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_69ca82b9d5848190a24672775d5c5011 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb42fcfb9c81908496f9a7e30d0d8a completed March 31, 2026, 3:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc942a9af881908b7ddc724755893e completed April 1, 2026, 3:42 a.m.
Created at: March 30, 2026, 5:32 p.m.