Triple
T3955056
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Huizhou (historical region) |
E84955
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Shexian |
E402891
|
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: Shexian | Statement: [Huizhou (historical region), hasCity, Shexian]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shexian Context triple: [Huizhou (historical region), hasCity, Shexian]
-
A.
Shexian County
chosen
Shexian County is a historic county in southern Anhui, China, renowned as a core cradle of Huizhou culture, architecture, and commerce.
-
B.
Shexian County
Shexian County is an administrative county under the jurisdiction of Handan City in Hebei Province, northern China, known for its historical significance and traditional northern Chinese culture.
-
C.
Xianning
Xianning is a prefecture-level city in southeastern Hubei Province, China, known for its hot springs, karst landscapes, and historical sites.
-
D.
Xiantao
Xiantao is a county-level city in central China’s Hubei province, known for its location on the Jianghan Plain and its role as a regional agricultural and industrial center.
-
E.
Yuncheng
Yuncheng is a major city in southern Shanxi Province, China, known for its historical sites and role as a regional transportation and economic hub.
- 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_69aed934fbfc8190847068e4546de963 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef93d742c81908639c843193d78fd |
completed | March 9, 2026, 4:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b53ffc49f48190949d14113031dd85 |
completed | March 14, 2026, 11:01 a.m. |
Created at: March 9, 2026, 3:30 p.m.