Triple

T13824462
Position Surface form Disambiguated ID Type / Status
Subject Line 1 (Beijing Subway) E332214 entity
Predicate hasStation P35 FINISHED
Object Wangfujing station E70562 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: Wangfujing station | Statement: [Line 1 (Beijing Subway), hasStation, Wangfujing station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wangfujing station
Context triple: [Line 1 (Beijing Subway), hasStation, Wangfujing station]
  • A. Wangfujing station chosen
    Wangfujing station is a major underground metro station in central Beijing serving the busy Wangfujing commercial and shopping district.
  • B. Jianguomen station
    Jianguomen station is a major interchange stop on the Beijing Subway, serving as a key transfer point between central city lines near the historic Jianguomen area.
  • C. Fuxingmen station
    Fuxingmen station is a major interchange stop on the Beijing Subway, serving as a key transfer point between multiple central city lines.
  • D. Dongzhimen station
    Dongzhimen station is a major Beijing Subway interchange hub connecting multiple lines and serving as a key gateway to the city’s northeastern districts and the airport rail link.
  • E. Chongwenmen station
    Chongwenmen station is a major interchange stop on the Beijing Subway serving central Beijing near the historic Chongwenmen gate area.
  • 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_69fea59d27bc81908ace0b7db9f57215 completed May 9, 2026, 3:10 a.m.
Created at: April 9, 2026, 10:13 p.m.