Triple

T13824584
Position Surface form Disambiguated ID Type / Status
Subject Line 10 at Sanyuanqiao E332218 entity
Predicate locatedIn P40 FINISHED
Object Sanyuanqiao Station E378853 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: Sanyuanqiao Station | Statement: [Line 10 at Sanyuanqiao, locatedIn, Sanyuanqiao Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sanyuanqiao Station
Context triple: [Line 10 at Sanyuanqiao, locatedIn, Sanyuanqiao Station]
  • A. Sanyuanqiao station chosen
    Sanyuanqiao station is a major interchange stop in Beijing’s subway network that connects the Capital Airport Express with other urban metro lines, serving as a key access point to Beijing Capital International Airport.
  • 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. Jinyintan Station
    Jinyintan Station is a metro station in Wuhan, China, serving passengers on the city's Line 2 rapid transit route.
  • E. Sanyuanli station
    Sanyuanli station is an underground metro station in Guangzhou, China, serving the Baiyun District as part of the city's rapid transit network.
  • 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_69d81c5ae7c88190b0dd41bdafeb5999 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0285fb7c8190be4b90bdc0d6fa53 completed April 14, 2026, 9:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69feef5a0824819097e41163e3092b68 completed May 9, 2026, 8:24 a.m.
Created at: April 9, 2026, 10:13 p.m.