Triple
T37289009
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gumbat |
E925609
|
entity |
| Predicate | hasCapitalOfUnionCouncil |
P201511
|
FINISHED |
| Object | Gumbat |
—
|
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: Gumbat | Statement: [Gumbat, hasCapitalOfUnionCouncil, Gumbat]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCapitalOfUnionCouncil Context triple: [Gumbat, hasCapitalOfUnionCouncil, Gumbat]
-
A.
hasNumberOfUnionCouncils
Indicates the relationship specifying how many union councils are associated with or contained within a given entity.
-
B.
isTehsilHeadquarters
Indicates that a location serves as the administrative headquarters for a tehsil (sub-district) within an administrative division.
-
C.
hasUpazila
Indicates a relationship where a larger administrative region or district includes or is associated with one or more upazilas (sub-districts).
-
D.
hasCouncilAreaName
Indicates that an entity is associated with a council area identified by a specific name.
-
E.
hasCouncilAreaPart
Indicates that one council area includes another council area as a constituent part within its administrative or geographic boundaries.
- 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_69f76eafe20c8190856d3b996a4c31a7 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fffc783b648190bcd7df017514d206 |
completed | May 10, 2026, 3:33 a.m. |
| PD | Predicate disambiguation | batch_69fffc03fa24819099e12413dc6e0afd |
completed | May 10, 2026, 3:31 a.m. |
| PDg | Predicate description generation | batch_69fffc7793bc81908d7b41eeec42c2f2 |
completed | May 10, 2026, 3:33 a.m. |
Created at: May 3, 2026, 4:16 p.m.