Triple

T12112500
Position Surface form Disambiguated ID Type / Status
Subject PNR Metro Commuter Line E288466 entity
Predicate hasStation P35 FINISHED
Object Sucat station E786625 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: Sucat station | Statement: [PNR Metro Commuter Line, hasStation, Sucat station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sucat station
Context triple: [PNR Metro Commuter Line, hasStation, Sucat station]
  • A. Sucat station chosen
    Sucat station is a commuter rail station in Muntinlupa, Metro Manila, serving passengers on the Philippine National Railways network.
  • B. Bataizi Station
    Bataizi Station is a metro station on Beijing's Batong Line serving passengers in the eastern suburbs of the city.
  • C. Imbiah station
    Imbiah station is a monorail station on Singapore’s Sentosa Island serving the Imbiah attractions area along the Sentosa Express line.
  • D. Sizihwan Station
    Sizihwan Station is a metro station in Kaohsiung, Taiwan, serving the scenic Sizihwan and Hamasen waterfront area near National Sun Yat-sen University.
  • E. Bang Wa Station
    Bang Wa Station is a major Bangkok Mass Transit System (BTS) Skytrain terminal and interchange in western Bangkok, serving as a key transit hub connecting the city’s rail and bus networks.
  • 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_69d6ab4a5c448190a110d1273314b21a completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9156814148190b47d63a89fcab17c completed April 10, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63ee285208190a0183e30c749f955 completed May 2, 2026, 6:13 p.m.
Created at: April 8, 2026, 9:49 p.m.