Triple
T11032944
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Loushanguan Road |
E260802
|
entity |
| Predicate | hasMetroStation |
P522
|
FINISHED |
| Object | Loushanguan 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: Loushanguan Road station | Statement: [Loushanguan Road, hasMetroStation, Loushanguan Road station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Loushanguan Road station Context triple: [Loushanguan Road, hasMetroStation, Loushanguan Road station]
-
A.
Loushanguan Road Station
chosen
Loushanguan Road Station is a Shanghai Metro station serving the Changning District area of Shanghai, China.
-
B.
Qilianshan Road station
Qilianshan Road station is a Shanghai Metro station serving the Putuo District as part of the city's urban rapid transit network.
-
C.
Lianhua Road Station
Lianhua Road Station is a Shanghai Metro station serving the Minhang District as part of the city’s rapid transit network.
-
D.
Youyi Road station
Youyi Road station is a metro station on the Shanghai Metro network serving passengers in the Baoshan District of Shanghai, China.
-
E.
Tiantong Road station
Tiantong Road station is a Shanghai Metro station located in the Hongkou District, serving as part of the city's extensive urban rail 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_69d6aa979bdc8190bf0e79104cc098c1 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d797e650b48190967c53f54e3464ad |
completed | April 9, 2026, 12:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3a9a6db688190a740b787448d97b2 |
completed | April 18, 2026, 3:56 p.m. |
Created at: April 8, 2026, 9:25 p.m.