Triple
T15352773
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jinci Temple |
E367094
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Jinyuan District |
E365120
|
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: Jinyuan District | Statement: [Jinci Temple, locatedIn, Jinyuan District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jinyuan District Context triple: [Jinci Temple, locatedIn, Jinyuan District]
-
A.
Jinyuan District
chosen
Jinyuan District is an urban administrative district of Taiyuan, the capital city of Shanxi Province in northern China.
-
B.
Jianhua District
Jianhua District is a central urban district of Qiqihar City in Heilongjiang Province, northeastern China.
-
C.
Zhanqian District
Zhanqian District is an urban administrative district under the jurisdiction of Yingkou City in Liaoning Province, China.
-
D.
Xiuying District
Xiuying District is an urban administrative district of Haikou City on Hainan Island in southern China, known for its coastal location and role in the city's development.
-
E.
Chengzhong District
Chengzhong District is a central urban district of Xining, the capital city of Qinghai Province in northwest China.
- 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_69d85a1355608190a6673ddb67231d54 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e2a8e88819093e4b7479b2c80cd |
completed | April 16, 2026, 1:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a011b2fc8f88190b9bd2887149e3d68 |
completed | May 10, 2026, 11:56 p.m. |
Created at: April 10, 2026, 3:17 a.m.