Triple

T20567610
Position Surface form Disambiguated ID Type / Status
Subject Senayan, Jakarta E505003 entity
Predicate servedBy P82 FINISHED
Object Istora Mandiri MRT 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: Istora Mandiri MRT Station | Statement: [Senayan, Jakarta, servedBy, Istora Mandiri MRT Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Istora Mandiri MRT Station
Context triple: [Senayan, Jakarta, servedBy, Istora Mandiri MRT Station]
  • A. Senayan MRT Station chosen
    Senayan MRT Station is an underground mass rapid transit station in South Jakarta, Indonesia, serving the Senayan area along Jakarta’s North–South MRT line.
  • B. Jalan Besar MRT station
    Jalan Besar MRT station is an underground Mass Rapid Transit station in Singapore’s Downtown Line serving the Jalan Besar and Rochor areas.
  • C. Bukit Bintang MRT station
    Bukit Bintang MRT station is a major underground rapid transit station in central Kuala Lumpur, Malaysia, serving the busy Bukit Bintang shopping and entertainment district.
  • D. Bambang LRT station
    Bambang LRT station is an elevated Light Rail Transit station in Santa Cruz, Manila, serving commuters along Manila's LRT Line 1.
  • E. Kajang MRT station
    Kajang MRT station is a mass rapid transit station in Kajang, Selangor, Malaysia, serving as a key rail hub connecting the town to the greater Kuala Lumpur metropolitan area.
  • 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_69e0b4b6587c8190aee63dc7cff244ea completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a7a3fdc08190a34dcf4c4e51f078 completed April 20, 2026, 10:24 p.m.
Created at: April 16, 2026, 11:39 a.m.