Triple
T6984334
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nawab |
E161924
|
entity |
| Predicate | governedUnit |
P40009
|
FINISHED |
| Object | province |
—
|
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: province | Statement: [Nawab, governedUnit, province]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: governedUnit Context triple: [Nawab, governedUnit, province]
-
A.
governedFor
Indicates that one entity exercised governing authority or administrative control on behalf of, or in the interest of, another entity.
-
B.
governedIn
Indicates that one entity exercised governing authority or administrative control within a specified place or jurisdiction.
-
C.
governedFrom
Indicates that an entity exercises governing authority or administrative control over another entity from a specific location or seat of power.
-
D.
governedAs
Indicates that one entity exercises authoritative control, direction, or rule over another according to some system of governance or leadership.
-
E.
governmentalUnit
chosen
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_69c68855dc0481909b4c7e9e9ed273db |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6dbbd926c8190a8b60527bd553fa3 |
completed | March 27, 2026, 7:34 p.m. |
| PD | Predicate disambiguation | batch_69c6d7c4a18881908d267137daed828b |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:31 p.m.