Triple
T32393441
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Normandin |
E827737
|
entity |
| Predicate | isInRegionWithMajorCity |
P35166
|
FINISHED |
| Object | Saguenay |
—
|
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: Saguenay | Statement: [Normandin, isInRegionWithMajorCity, Saguenay]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isInRegionWithMajorCity Context triple: [Normandin, isInRegionWithMajorCity, Saguenay]
-
A.
isMajorRegionFor
Indicates that a region serves as a primary or significant area associated with a particular entity, activity, or phenomenon.
-
B.
includesMajorMetropolitanArea
chosen
Indicates that one entity geographically contains or encompasses a major metropolitan area within its boundaries.
-
C.
hasMajorSettlementRegion
Indicates that a major settlement is located within or primarily associated with a particular geographic region.
-
D.
isMajorRegionalCenter
Indicates that a location functions as a primary hub of economic, administrative, or cultural activity within a specific geographic region.
-
E.
hasMajorCity
Indicates that a location possesses at least one city of significant size, importance, or influence within its region or country.
- 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_69f349184e7481909c6c54428cb9cf12 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c2110790819083172d8a7bc831ce |
completed | May 3, 2026, 3:33 a.m. |
| PD | Predicate disambiguation | batch_69f6bd25bed08190befcabd3a41ffadf |
completed | May 3, 2026, 3:12 a.m. |
Created at: May 1, 2026, 12:52 a.m.