Triple
T33832539
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miran Shah |
E867140
|
entity |
| Predicate | hasTypeOfGovernmentalUnit |
P32279
|
FINISHED |
| Object | tehsil headquarters |
—
|
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: tehsil headquarters | Statement: [Miran Shah, hasTypeOfGovernmentalUnit, tehsil headquarters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypeOfGovernmentalUnit Context triple: [Miran Shah, hasTypeOfGovernmentalUnit, tehsil headquarters]
-
A.
governmentalUnitType
chosen
Indicates the specific category or classification of a governmental unit (such as federal, state, municipal, or other administrative level) that an entity belongs to.
-
B.
hasGovernmentalBodyType
Indicates the specific kind or classification of governmental body that an entity possesses or is associated with.
-
C.
typeOfGovernmentInstitution
Indicates that one entity is a government institution of the type or category specified by the other entity.
-
D.
basedInGovernmentType
Indicates that an entity operates within or is associated with a government of a specified governmental system or type.
-
E.
governmentalUnit
Indicates that one entity functions as a governmental or administrative unit in relation to another entity.
- 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_69f34992ad40819087760ed939bd2a7a |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69ff1ba8694481909ceb36f26ca85612 |
completed | May 9, 2026, 11:34 a.m. |
| PD | Predicate disambiguation | batch_69ff1b27f0f08190a9e74308c5b3d1ba |
completed | May 9, 2026, 11:31 a.m. |
Created at: May 1, 2026, 1:46 a.m.