Triple
T6322564
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Qinhuangdao |
E141777
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object | Haigang District |
E585189
|
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: Haigang District | Statement: [Qinhuangdao, hasSubdivision, Haigang District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Haigang District Context triple: [Qinhuangdao, hasSubdivision, Haigang District]
-
A.
Haigang District
chosen
Haigang District is the central urban district and administrative, economic, and cultural hub of Qinhuangdao in Hebei Province, China.
-
B.
Tieshangang District
Tieshangang District is an administrative district of the coastal city of Beihai in Guangxi, China, known for its port and industrial activities.
-
C.
Quanshan District
Quanshan District is an urban administrative district of Xuzhou in Jiangsu Province, China, known as one of the city’s central built-up areas.
-
D.
Taishan District
Taishan District is an urban district of New Taipei City in northern Taiwan, known for its residential communities and educational institutions.
-
E.
Lubei District
Lubei District is an urban administrative district of the city of Tangshan in Hebei Province, China, known for its role in the region’s industrial and commercial activities.
- 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_69c008d201748190917e69c41ba3f978 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c064e38f1c81909c7e90b520602bae |
completed | March 22, 2026, 9:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6040b1e0481908095decce40107b4 |
completed | March 27, 2026, 4:14 a.m. |
Created at: March 22, 2026, 4:29 p.m.