Triple
T10499144
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andingmen |
E247620
|
entity |
| Predicate | hasTransportationHub |
P2413
|
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: [Andingmen, hasTransportationHub, Andingmen Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andingmen Station Context triple: [Andingmen, hasTransportationHub, 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.
Jinyintan Station
Jinyintan Station is a metro station in Wuhan, China, serving passengers on the city's Line 2 rapid transit route.
-
E.
Xicun Station
Xicun Station is a metro station in Guangzhou, China, serving passengers on the Guangzhou Metro 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_69d381c309b88190af78aa681cf6a4c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5098e45ec8190a02b981a06786909 |
completed | April 7, 2026, 1:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d9882acd348190ae3ab2f17c834aef |
completed | April 10, 2026, 11:30 p.m. |
Created at: April 6, 2026, 12:25 p.m.