Triple

T13824299
Position Surface form Disambiguated ID Type / Status
Subject Line 2 (Beijing Subway) E332210 entity
Predicate hasStation P35 FINISHED
Object Andingmen station E336883 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: Andingmen station | Statement: [Line 2 (Beijing Subway), hasStation, Andingmen station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Andingmen station
Context triple: [Line 2 (Beijing Subway), hasStation, Andingmen station]
  • A. Andingmen station chosen
    Andingmen station is a stop on Beijing's extensive subway network, serving passengers in the area near the historic Andingmen gate site.
  • B. 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.
  • C. Xintiandi station
    Xintiandi station is a major Shanghai Metro interchange located near the popular Xintiandi entertainment and shopping district.
  • D. Laoximen station
    Laoximen station is a Shanghai Metro interchange station in the Huangpu District, serving as a connection point between Line 8 and Line 10 near the historic Old West Gate area.
  • E. Beigongmen station
    Beigongmen station is a subway station on the Beijing Subway network serving the area near the Summer Palace in Beijing.
  • 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_69fcd08c21a48190b4077d5acb4ab658 completed May 7, 2026, 5:49 p.m.
Created at: April 9, 2026, 10:13 p.m.