Triple
T23766121
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alibaba Group founders |
E587381
|
entity |
| Predicate | foundedInProvince |
P153876
|
FINISHED |
| Object | Zhejiang |
—
|
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: Zhejiang | Statement: [Alibaba Group founders, foundedInProvince, Zhejiang]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: foundedInProvince Context triple: [Alibaba Group founders, foundedInProvince, Zhejiang]
-
A.
stationedInProvince
Indicates that an entity is assigned or based in a particular province as its location or area of operation.
-
B.
isProvinceOf
Indicates that one region holds the administrative status of a province within, and is governed as a subnational division of, another political entity.
-
C.
locatedInInstitutionProvince
Indicates that an institution is situated within a specific province.
-
D.
governingProvince
Indicates that one administrative unit or authority has official governing control over a specified province.
-
E.
provinceOf
Indicates that one administrative region functions as a province belonging to or governed by a larger territorial or political entity.
- F. None of above. chosen
Provenance (4 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_69e2490b8ac48190a6b35f1d5500486b |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1bdb5b0408190b46661d80e37b509 |
completed | April 29, 2026, 8:13 a.m. |
| PD | Predicate disambiguation | batch_69f155f79e34819080f9ddb972b34deb |
completed | April 29, 2026, 12:51 a.m. |
| PDg | Predicate description generation | batch_69f15ed138f88190a8ae555422978908 |
completed | April 29, 2026, 1:28 a.m. |
Created at: April 17, 2026, 7:15 p.m.