Triple
T18311858
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wuzhou |
E438644
|
entity |
| Predicate | hasCounty |
P285
|
FINISHED |
| Object | Teng County |
—
|
NE NERFINISHED |
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: Teng County | Statement: [Wuzhou, hasCounty, Teng County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Teng County Context triple: [Wuzhou, hasCounty, Teng County]
-
A.
Teng County
chosen
Teng County is an administrative county under the jurisdiction of Wuzhou in the Guangxi Zhuang Autonomous Region of southern China.
-
B.
Fengqiu County
Fengqiu County is an administrative county under the jurisdiction of Xinxiang City in Henan Province, China, known for its agricultural economy on the North China Plain.
-
C.
Tongzi County
Tongzi County is an administrative county under the jurisdiction of Zunyi City in Guizhou Province, southwestern China, known for its mountainous terrain and agricultural economy.
-
D.
Yingshang County
Yingshang County is an administrative county in Anhui Province, China, governed by the prefecture-level city of Fuyang.
-
E.
Zhongyang County
Zhongyang County is a county-level administrative region under the jurisdiction of Lüliang City in Shanxi Province, China, known for its mountainous terrain and coal resources.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b916a2d081909e249e4902f6aad9 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50219cd548190b8da5f402d5da773 |
completed | April 19, 2026, 4:26 p.m. |
Created at: April 10, 2026, 10:36 a.m.