Triple
T2383244
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Changning District |
E46358
|
entity |
| Predicate | hasMetroStation |
P522
|
FINISHED |
| Object | Weining Road Station |
E271270
|
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: Weining Road Station | Statement: [Changning District, hasMetroStation, Weining Road Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Weining Road Station Context triple: [Changning District, hasMetroStation, Weining Road Station]
-
A.
Jianchuan Road Station
Jianchuan Road Station is a Shanghai Metro station serving the Minhang District area of Shanghai, China.
-
B.
Loushanguan Road Station
chosen
Loushanguan Road Station is a Shanghai Metro station serving the Changning District area of Shanghai, China.
-
C.
Xinzhuang Station
Xinzhuang Station is a major Shanghai Metro interchange station in Minhang District, serving as a key southern transport hub in the city’s network.
-
D.
Qibao Station
Qibao Station is a Shanghai Metro station serving the historic Qibao area in Minhang District, known for providing convenient transit access to this popular suburban neighborhood.
-
E.
Lianhua Road Station
Lianhua Road Station is a Shanghai Metro station serving the Minhang District as part of the city’s rapid transit 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_69a88a1554a48190a0180682bcf099be |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abc7bafa248190a68e8f1e081f4817 |
completed | March 7, 2026, 6:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af1f7ac4c8819091132fa9cb265552 |
completed | March 9, 2026, 7:28 p.m. |
Created at: March 4, 2026, 7:57 p.m.