Triple
T31929620
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jincheng Township Mayor |
E815205
|
entity |
| Predicate | officeNameInChinese |
P198628
|
FINISHED |
| Object | 金城鎮鎮長 |
—
|
LITERAL 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: 金城鎮鎮長 | Statement: [Jincheng Township Mayor, officeNameInChinese, 金城鎮鎮長]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeNameInChinese Context triple: [Jincheng Township Mayor, officeNameInChinese, 金城鎮鎮長]
-
A.
officeName
Indicates the official name assigned to an office or workplace.
-
B.
officeNameInFrench
Indicates the French-language name or label used for a particular office or official position.
-
C.
officeNameInPortuguese
Indicates the name or title of an office as expressed in the Portuguese language.
-
D.
officeNameInOfficialLanguage
Indicates that an office’s title or name is given specifically in the official language of the relevant jurisdiction or organization.
-
E.
officeNameInSpanish
Indicates that an entity’s office name is expressed in the Spanish language.
- 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_69f348f1df848190851bbfb988da3414 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fef8c3f2388190b995ec173512945a |
completed | May 9, 2026, 9:05 a.m. |
| PD | Predicate disambiguation | batch_69fef65975608190960b78d27e806d4f |
completed | May 9, 2026, 8:54 a.m. |
| PDg | Predicate description generation | batch_69fef8c2cdd881908c6f44e4dfa5ffd0 |
completed | May 9, 2026, 9:05 a.m. |
Created at: May 1, 2026, 12:04 a.m.