Triple
T9251016
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jing'an Temple |
E222322
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Jing'an Temple Station |
E772244
|
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: Jing'an Temple Station | Statement: [Jing'an Temple, near, Jing'an Temple Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jing'an Temple Station Context triple: [Jing'an Temple, near, Jing'an Temple Station]
-
A.
Jing'an Temple station
chosen
Jing'an Temple station is a major Shanghai Metro interchange located in the central Jing'an district, serving as a key access point to the historic Jing'an Temple and surrounding commercial area.
-
B.
Hongqiao Road Station
Hongqiao Road Station is a major Shanghai Metro interchange station serving multiple lines in the western part of the city.
-
C.
Xujiahui Station
Xujiahui Station is a major Shanghai Metro interchange and commercial hub serving the busy Xujiahui area in Shanghai, China.
-
D.
Chunxi Road Station
Chunxi Road Station is a major metro station in Chengdu, China, providing access to the popular commercial and shopping district around Chunxi Road.
-
E.
Baoyang Road station
Baoyang Road station is a metro station in Shanghai, China, serving passengers in the Baoshan District as part of the city's 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_69ca841d2b18819089f9faf5b2c2aec0 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd05f9ade48190ac8425a1c6f066b1 |
completed | April 1, 2026, 11:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d642c457f08190a79c7161ceadb869 |
completed | April 8, 2026, 11:57 a.m. |
Created at: March 30, 2026, 7:31 p.m.