Triple
T4970201
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fuyang |
E111629
|
entity |
| Predicate | hasCounty |
P285
|
FINISHED |
| Object |
Yingshang County
Yingshang County is an administrative county in Anhui Province, China, governed by the prefecture-level city of Fuyang.
|
E487942
|
NE FINISHED |
How this triple was built (4 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: Yingshang County | Statement: [Fuyang, hasCounty, Yingshang County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yingshang County Context triple: [Fuyang, hasCounty, Yingshang County]
-
A.
Yangxin County
Yangxin County is an administrative county under the jurisdiction of Huangshi City in southeastern Hubei Province, China, known for its rural landscapes and growing industrial development.
-
B.
Linquan County
Linquan County is an administrative county in western Anhui Province, China, governed by the prefecture-level city of Fuyang.
-
C.
Xiaochang County
Xiaochang County is a county-level division in central China's Hubei province, administered by the prefecture-level city of Xiaogan.
-
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.
Qimen County
Qimen County is a region in Anhui Province, China, internationally renowned as the birthplace of Keemun black tea.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Yingshang County Triple: [Fuyang, hasCounty, Yingshang County]
Generated description
Yingshang County is an administrative county in Anhui Province, China, governed by the prefecture-level city of Fuyang.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Yingshang County Target entity description: Yingshang County is an administrative county in Anhui Province, China, governed by the prefecture-level city of Fuyang.
-
A.
Yangxin County
Yangxin County is an administrative county under the jurisdiction of Huangshi City in southeastern Hubei Province, China, known for its rural landscapes and growing industrial development.
-
B.
Linquan County
Linquan County is an administrative county in western Anhui Province, China, governed by the prefecture-level city of Fuyang.
-
C.
Xiaochang County
Xiaochang County is a county-level division in central China's Hubei province, administered by the prefecture-level city of Xiaogan.
-
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.
Qimen County
Qimen County is a region in Anhui Province, China, internationally renowned as the birthplace of Keemun black tea.
- F. None of above. chosen
Provenance (5 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_69bd441a0eb481908050fa4273b19eae |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd721221b88190916feb9b4f049195 |
completed | March 20, 2026, 4:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be9c4ecaec8190ab927d1b91258005 |
completed | March 21, 2026, 1:25 p.m. |
| NEDg | Description generation | batch_69be9cc05a90819093cee49d67495e33 |
completed | March 21, 2026, 1:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69be9d1bca1081909d9491e7d5e351a1 |
completed | March 21, 2026, 1:28 p.m. |
Created at: March 20, 2026, 1:33 p.m.