Triple
T28883543
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bongaon Municipality |
E732487
|
entity |
| Predicate | typeOfLocalBody |
P101316
|
FINISHED |
| Object | Municipality |
—
|
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: Municipality | Statement: [Bongaon Municipality, typeOfLocalBody, Municipality]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfLocalBody Context triple: [Bongaon Municipality, typeOfLocalBody, Municipality]
-
A.
localGovernmentAreaType
Indicates the specific classification or category of a local government area within an administrative or governmental hierarchy.
-
B.
hasLocalGovernmentUnitClass
chosen
Indicates that a local government unit belongs to or is categorized under a specific administrative or governmental classification.
-
C.
typeOfJurisdictionBody
Indicates that one entity functions as the jurisdictional authority or governing body for the other entity.
-
D.
hasLocalGovernmentTier
Indicates that one administrative unit is organized or governed at a specific level within a multi-tier local government structure.
-
E.
isLocalGovernment
Indicates that an entity functions as a governing body with authority over a specific local or regional area within a larger political system.
- 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_69f05b07bdec819080cadfe147aa1f25 |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69fec8aef1d8819094c7fd7074038e6b |
completed | May 9, 2026, 5:39 a.m. |
| PD | Predicate disambiguation | batch_69fec639876481908efd84a3631a4271 |
completed | May 9, 2026, 5:29 a.m. |
Created at: April 28, 2026, 7:47 a.m.