Triple
T27096947
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | URC |
E686329
|
entity |
| Predicate | regionNativeName |
P40944
|
FINISHED |
| Object | 新疆维吾尔自治区 |
—
|
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: 新疆维吾尔自治区 | Statement: [URC, regionNativeName, 新疆维吾尔自治区]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regionNativeName Context triple: [URC, regionNativeName, 新疆维吾尔自治区]
-
A.
countryNameLocal
Indicates the name of a country as expressed in its own local or official language.
-
B.
countrySpecificName
Indicates that an entity has a name or label that is specific to, or used within, a particular country.
-
C.
institutionNativeName
Indicates that an institution is associated with its official or commonly used name in the institution’s original or local language.
-
D.
hasRegionalName
chosen
Indicates that an entity is known by a specific name or designation within a particular region or locality.
-
E.
regionLanguage
Indicates that a particular language is used or officially recognized within a specific geographic region.
- F. None of above.
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_69ef1489f8b481908e24a1985982bd26 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f7817daf00819098936402e75ab0a6 |
completed | May 3, 2026, 5:10 p.m. |
| PD | Predicate disambiguation | batch_69f780fc5ed88190b7200ee5a29940af |
completed | May 3, 2026, 5:08 p.m. |
Created at: April 27, 2026, 8:45 a.m.