Triple
T13824293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Line 2 (Beijing Subway) |
E332210
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Jianguomen station |
E73036
|
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: Jianguomen station | Statement: [Line 2 (Beijing Subway), hasStation, Jianguomen station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jianguomen station Context triple: [Line 2 (Beijing Subway), hasStation, Jianguomen station]
-
A.
Jianguomen station
chosen
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.
-
B.
Hepingmen station
Hepingmen station is an underground metro station on the Beijing Subway serving the central Xicheng District near historic commercial and cultural areas.
-
C.
Chongwenmen station
Chongwenmen station is a major interchange stop on the Beijing Subway serving central Beijing near the historic Chongwenmen gate area.
-
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.
Chaoyangmen station
Chaoyangmen station is a major interchange stop on the Beijing Subway serving the central Chaoyangmen area of 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_69f7c70454a8819097b5e5091f84be33 |
completed | May 3, 2026, 10:07 p.m. |
Created at: April 9, 2026, 10:13 p.m.