Triple

T11087289
Position Surface form Disambiguated ID Type / Status
Subject MRT Kajang Line E262154 entity
Predicate terminus P388 FINISHED
Object Kajang station E773622 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: Kajang station | Statement: [MRT Kajang Line, terminus, Kajang station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kajang station
Context triple: [MRT Kajang Line, terminus, Kajang station]
  • A. Dang Wangi station
    Dang Wangi station is an elevated rapid transit stop in central Kuala Lumpur serving the Kelana Jaya Line and providing convenient access to nearby commercial and tourist areas.
  • B. 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.
  • C. Kajang MRT station chosen
    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.
  • D. Puhung Station
    Puhung Station is one of the main stations of the Pyongyang Metro in North Korea, noted for its grand, ornate Soviet-style architecture and murals.
  • E. Sangen-jaya Station
    Sangen-jaya Station is a major railway station in Tokyo’s Setagaya ward, serving as a busy transit hub with direct access to central city areas and a surrounding neighborhood known for its lively dining and nightlife.
  • 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_69d6aa9983c08190b0ef61603b69feac completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d799c5008081908f59612243fa4f7a completed April 9, 2026, 12:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3e7a6dfa8819096f822294eb64dd1 completed April 18, 2026, 8:20 p.m.
Created at: April 8, 2026, 9:27 p.m.