Triple
T2435673
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North West |
E52953
|
entity |
| Predicate | formedAsProvince |
P25361
|
FINISHED |
| Object | 1994 |
—
|
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: 1994 | Statement: [North West, formedAsProvince, 1994]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formedAsProvince Context triple: [North West, formedAsProvince, 1994]
-
A.
joinedAsProvince
chosen
Indicates that an entity became part of a larger political or administrative unit with the status of a province.
-
B.
formerProvince
Indicates that an entity was previously a province of another entity but no longer holds that administrative status.
-
C.
governingProvince
Indicates that one administrative unit or authority has official governing control over a specified province.
-
D.
servedProvince
Indicates that an entity has provided services or held jurisdictional authority over a specified province.
-
E.
previousProvince
Indicates that one province was the immediately preceding administrative region of another in a temporal or historical sequence.
- 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_69ab4959bcc0819083246f9fb10439e3 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abcebf7cac8190889e6890d72c256c |
completed | March 7, 2026, 7:07 a.m. |
| PD | Predicate disambiguation | batch_69abc5ac11b081908ce6a506e81a742a |
completed | March 7, 2026, 6:29 a.m. |
Created at: March 6, 2026, 9:43 p.m.