Triple

T6650670
Position Surface form Disambiguated ID Type / Status
Subject Fengshan District E150810 entity
Predicate hasRailwayStation P918 FINISHED
Object Fengshan railway station E609798 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: Fengshan railway station | Statement: [Fengshan District, hasRailwayStation, Fengshan railway station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fengshan railway station
Context triple: [Fengshan District, hasRailwayStation, Fengshan railway station]
  • A. Fengshan Station chosen
    Fengshan Station is a metro station on the Kaohsiung Mass Rapid Transit system serving the Fengshan District in Kaohsiung, Taiwan.
  • B. Sihui station
    Sihui station is a Beijing Subway interchange station serving as a key transfer point between major urban rail lines in the city.
  • C. Langho railway station
    Langho railway station is a small rural stop on the Ribble Valley Line in Lancashire, England, serving the village of Langho and surrounding areas.
  • D. Fongshan West–Weiwuying station
    Fongshan West–Weiwuying station is a Kaohsiung MRT station in Taiwan that serves the Weiwuying area, including the nearby National Kaohsiung Center for the Arts.
  • E. Baishizhou station
    Baishizhou station is a metro station in Shenzhen, China, serving the densely populated Baishizhou area and nearby attractions such as Window of the World.
  • 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_69c687f2c9508190a60b9aad31d3f358 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6b04408508190a87a669b32364368 completed March 27, 2026, 4:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7007135248190a7dc63044b52beff completed March 27, 2026, 10:10 p.m.
Created at: March 27, 2026, 2:01 p.m.