Triple

T7011566
Position Surface form Disambiguated ID Type / Status
Subject Bogor Station E162593 entity
Predicate formerName P65 FINISHED
Object Buitenzorg Station E162593 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: Buitenzorg Station | Statement: [Bogor Station, formerName, Buitenzorg Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Buitenzorg Station
Context triple: [Bogor Station, formerName, Buitenzorg Station]
  • A. Bogor Station chosen
    Bogor Station is a major railway station and commuter rail terminus serving the city of Bogor and the greater Jakarta metropolitan area in Indonesia.
  • B. Jatinegara Station
    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.
  • C. Bandung railway station
    Bandung railway station is the main rail hub in Bandung, Indonesia, serving as a key junction for intercity and regional train services across West Java and beyond.
  • D. Bekasi Station
    Bekasi Station is a major railway station serving commuter and intercity trains in the city of Bekasi, Indonesia.
  • E. 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.
  • 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_69c6885a127c8190867b059bdccf13ff completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6dc5729448190af66dbd6f3e8936e completed March 27, 2026, 7:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c76a4bd424819097e1543ec59979ff completed March 28, 2026, 5:42 a.m.
Created at: March 27, 2026, 2:34 p.m.