Triple
T33367192
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Granges-Paccot |
E854385
|
entity |
| Predicate | localName_fr |
P6538
|
FINISHED |
| Object | Granges-Paccot |
—
|
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: Granges-Paccot | Statement: [Granges-Paccot, localName_fr, Granges-Paccot]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: localName_fr Context triple: [Granges-Paccot, localName_fr, Granges-Paccot]
-
A.
nameInFrench
chosen
Indicates that an entity is known or referred to by a specific name expressed in the French language.
-
B.
isFrancophoneCounterpartOf
Indicates that one entity serves as the French-speaking or French-language equivalent or counterpart of another entity.
-
C.
subdivisionNameFrench
Indicates the French-language name assigned to a specific administrative or geographic subdivision.
-
D.
countryNameShortFrench
Indicates that an entity has a short-form country name expressed in the French language.
-
E.
legalNameInQuebec
Indicates that the specified name is the official legal name of the entity as recognized under Quebec’s legal or civil registration 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_69f3496bda8c8190bfc8fade9d1b791c |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f739a638748190808e7a2930dce16e |
completed | May 3, 2026, 12:03 p.m. |
| PD | Predicate disambiguation | batch_69f732f2dc6c8190a4e86da98cc5eb05 |
completed | May 3, 2026, 11:35 a.m. |
Created at: May 1, 2026, 1:35 a.m.