Triple

T8862889
Position Surface form Disambiguated ID Type / Status
Subject Shanghai Metro Line 13 E210935 entity
Predicate hasStation P35 FINISHED
Object Xintiandi station E751621 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: Xintiandi station | Statement: [Shanghai Metro Line 13, hasStation, Xintiandi station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Xintiandi station
Context triple: [Shanghai Metro Line 13, hasStation, Xintiandi station]
  • A. Xintiandi station chosen
    Xintiandi station is a major Shanghai Metro interchange located near the popular Xintiandi entertainment and shopping district.
  • B. Beixinjing Station
    Beixinjing Station is a Shanghai Metro station serving the Beixinjing area in the city's Changning District.
  • C. Weiwuying Station
    Weiwuying Station is an underground metro station in Kaohsiung, Taiwan, serving the Weiwuying area and providing access to the nearby National Kaohsiung Center for the Arts.
  • D. Haizhu Square Station
    Haizhu Square Station is a major underground metro station in central Guangzhou, China, serving as a key transit point near the Pearl River and the historic Haizhu Square area.
  • E. Jinyintan Station
    Jinyintan Station is a metro station in Wuhan, China, serving passengers on the city's Line 2 rapid transit route.
  • 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_69ca838bbddc8190ab546d737e5d350f completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc610263048190931bb2c3ac573a08 completed April 1, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69d5087b394c8190baa1ef5dbc92a0c8 completed April 7, 2026, 1:36 p.m.
Created at: March 30, 2026, 6:50 p.m.