Triple
T16983240
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zhu Houcong |
E411996
|
entity |
| Predicate | birthPlace |
P1
|
FINISHED |
| Object | Xingxian, Anlu, Hubei |
E371913
|
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: Xingxian, Anlu, Hubei | Statement: [Zhu Houcong, birthPlace, Xingxian, Anlu, Hubei]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Xingxian, Anlu, Hubei Context triple: [Zhu Houcong, birthPlace, Xingxian, Anlu, Hubei]
-
A.
Xingxian, Hubei
chosen
Xingxian, Hubei is a locality in China historically notable as the birthplace of the Ming dynasty Jiajing Emperor.
-
B.
Daye County, Hubei, China
Daye County in Hubei, China is a county-level area known for its long history of mining and metallurgy in eastern Hubei Province.
-
C.
Hongshan District, Wuhan
Hongshan District is a major urban district in southeastern Wuhan, China, known for its concentration of universities, research institutions, and technology-oriented development.
-
D.
Xingshan County
Xingshan County is an administrative county in western Hubei Province, China, known for its mountainous terrain and proximity to the Three Gorges region of the Yangtze River.
-
E.
Qingshan District, Wuhan
Qingshan District, Wuhan is an urban district on the Yangtze River in Wuhan, Hubei Province, known for its heavy industry and educational institutions.
- 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_69d886ca8f348190812768ea8d5055ce |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d188ede48190baead48aac84c78d |
completed | April 18, 2026, 6:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00dc0d437c81908f003a10b798998a |
completed | May 10, 2026, 7:27 p.m. |
Created at: April 10, 2026, 5:32 a.m.