Triple
T3161717
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Line 2 (Beijing Subway) |
E66115
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Qianmen station |
E75073
|
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: Qianmen station | Statement: [Line 2 (Beijing Subway), hasStation, Qianmen station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Qianmen station Context triple: [Line 2 (Beijing Subway), hasStation, Qianmen station]
-
A.
Qianmen station
chosen
Qianmen station is a major Beijing Subway station located just south of Tiananmen Square, serving as a key access point to the historic city center and nearby landmarks.
-
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.
Beijing Railway Station
Beijing Railway Station is one of Beijing’s major railway and transportation hubs, integrating long-distance rail services with urban transit connections.
-
D.
Fuxingmen station
Fuxingmen station is a major interchange stop on the Beijing Subway, serving as a key transfer point between multiple central city lines.
-
E.
Wangfujing station
Wangfujing station is a major underground metro station in central Beijing serving the busy Wangfujing commercial and shopping district.
- 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_69ad85850c1481908a9e9c6242238de2 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada618b9b88190afaa6d47dcad9f2c |
completed | March 8, 2026, 4:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b28e24fef881908b9b9d9a67c42c0e |
completed | March 12, 2026, 9:57 a.m. |
Created at: March 8, 2026, 3:06 p.m.