Triple
T15081478
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Huzhou |
E360154
|
entity |
| Predicate | hasCounty |
P285
|
FINISHED |
| Object | Deqing County |
E1052088
|
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: Deqing County | Statement: [Huzhou, hasCounty, Deqing County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Deqing County Context triple: [Huzhou, hasCounty, Deqing County]
-
A.
Deqing County
chosen
Deqing County is a county in northern Zhejiang Province, China, known for its scenic landscapes and popular tourist destinations such as the Moganshan mountain resort area.
-
B.
Wuzhai County
Wuzhai County is an administrative county in Shanxi Province, China, known for its mountainous terrain and location in the northern part of the province.
-
C.
Xuyong County
Xuyong County is an administrative county in Sichuan Province, China, governed by the prefecture-level city of Luzhou.
-
D.
Tonglu County
Tonglu County is a scenic county in Zhejiang Province, China, known for its picturesque river landscapes, karst mountains, and growing tourism industry.
-
E.
Qianxi County
Qianxi County is an administrative county under the jurisdiction of Tangshan City in Hebei Province, northern China, known for its mountainous terrain and historical sites.
- 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_69d85a035aa88190b52a139d3a1b7b6d |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0027450a48190a84588b6aaf84ebf |
completed | April 15, 2026, 9:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fee5e2b2188190b96807ca6442fb01 |
completed | May 9, 2026, 7:44 a.m. |
Created at: April 10, 2026, 3:03 a.m.