Triple
T25226185
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zila Parishad |
E632092
|
entity |
| Predicate | hasOfficeBearer |
P16080
|
FINISHED |
| Object | Vice-President of Zila Parishad |
—
|
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: Vice-President of Zila Parishad | Statement: [Zila Parishad, hasOfficeBearer, Vice-President of Zila Parishad]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOfficeBearer Context triple: [Zila Parishad, hasOfficeBearer, Vice-President of Zila Parishad]
-
A.
hasOfficeHolderType
Indicates that an office or position is associated with a specific type or category of office holder (e.g., elected official, appointed official).
-
B.
hasOffice
Indicates that an entity possesses or maintains an office at a particular location or within a specific organization.
-
C.
memberHoldsOffice
chosen
Indicates that a member occupies or serves in a specific official position or office within an organization or governing body.
-
D.
hasListOfOfficeHolders
Indicates that an entity is associated with a collection or record enumerating the individuals who have held a particular office or position.
-
E.
determinedOfficeHolderOf
Indicates that an authority or process has officially selected or designated a specific individual to hold a particular office or position.
- 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_69e75a8e0f688190a7aebe9a4815e25b |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f5f6baf2d48190a6a4cd6501be87d2 |
completed | May 2, 2026, 1:06 p.m. |
| PD | Predicate disambiguation | batch_69f5afd5baac8190bb8ed576813c8591 |
completed | May 2, 2026, 8:03 a.m. |
Created at: April 21, 2026, 1:03 p.m.