Triple
T6843627
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Huangshan (city) |
E157836
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Yi County |
E643972
|
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: Yi County | Statement: [Huangshan (city), contains, Yi County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yi County Context triple: [Huangshan (city), contains, Yi County]
-
A.
Yi County
chosen
Yi County is an administrative county under the jurisdiction of Huangshan City in Anhui Province, eastern China, known for its traditional Huizhou culture and historic villages.
-
B.
Hoechang County
Hoechang County is a county in South Pyongan Province, North Korea, historically noted as the burial site of Mao Anying, son of Chinese leader Mao Zedong.
-
C.
Uiryeong County
Uiryeong County is a rural county in South Gyeongsang Province, South Korea, known as the birthplace of Samsung founder Lee Byung-chul.
-
D.
Zhushan County
Zhushan County is a mountainous county-level division in northwestern Hubei Province, China, administered by the prefecture-level city of Shiyan.
-
E.
Ongjin County
Ongjin County is a rural island and coastal county in South Korea known for its fishing communities, natural scenery, and administrative affiliation with the metropolitan city of Incheon.
- 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_69c6882ed4c081909dc465a7cf8838be |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d6b7179481909e3482fef47b2719 |
completed | March 27, 2026, 7:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7bf6c62948190a8e8f0d8f259ba42 |
completed | March 28, 2026, 11:45 a.m. |
Created at: March 27, 2026, 2:19 p.m.