Triple
T18117289
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yulin |
E433638
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object | Beiliu City |
—
|
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: Beiliu City | Statement: [Yulin, hasSubdivision, Beiliu City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beiliu City Context triple: [Yulin, hasSubdivision, Beiliu City]
-
A.
Beiliu
chosen
Beiliu is a county-level city administered by Yulin in Guangxi, China, known for its ceramics industry and regional manufacturing.
-
B.
Linhai City
Linhai City is a county-level city in Zhejiang Province, China, known for its well-preserved ancient city walls and historic old town.
-
C.
Jiayi City
Jiayi City is an alternate romanized spelling of Chiayi City, a provincial city in southwestern Taiwan known for its cultural heritage and as a gateway to the Alishan scenic area.
-
D.
Leiyang City
Leiyang City is a county-level city administered by Hengyang in Hunan Province, China, known for its long history and role as a regional industrial and transportation hub.
-
E.
Jingxi City
Jingxi City is a county-level city in southwestern Guangxi, China, known for its karst landscapes and location near the border with Vietnam.
- 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_69d8b90916008190a1f110bd7ced5473 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ddd67a2481909d27a4a49b095f8c |
completed | April 19, 2026, 1:51 p.m. |
Created at: April 10, 2026, 10:28 a.m.