Triple
T23627557
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Valérie Plante |
E583508
|
entity |
| Predicate | isAFirstFor |
P46310
|
FINISHED |
| Object | first woman to serve as mayor of Montreal |
—
|
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: first woman to serve as mayor of Montreal | Statement: [Valérie Plante, isAFirstFor, first woman to serve as mayor of Montreal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isAFirstFor Context triple: [Valérie Plante, isAFirstFor, first woman to serve as mayor of Montreal]
-
A.
wasFirstOf
Indicates that the subject is the earliest or initial instance in a series, sequence, or group of similar entities or events.
-
B.
wasFirst
Indicates that one entity occurred, appeared, or held a position before another in time or sequence.
-
C.
introducedAsFirst
Indicates that one entity is presented or mentioned before any others in a given context or sequence.
-
D.
isFirstSingleFrom
Indicates that one musical work is the first single released from another work, typically an album or larger recording project.
-
E.
isFirstInCategory
chosen
Indicates that an entity is the earliest or primary member within a defined category or group.
- 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_69e248fc8d74819091bd5baef2f36f6f |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b1e4df248190ac38e4e025bd1140 |
completed | April 29, 2026, 7:23 a.m. |
| PD | Predicate disambiguation | batch_69f118d0e0588190a86527a7747c5427 |
completed | April 28, 2026, 8:30 p.m. |
Created at: April 17, 2026, 6:46 p.m.