Triple
T15026023
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint-Émile |
E378215
|
entity |
| Predicate | integratedIntoQuebecCity |
P116435
|
FINISHED |
| Object | 2002 municipal reorganization of Quebec |
—
|
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: 2002 municipal reorganization of Quebec | Statement: [Saint-Émile, integratedIntoQuebecCity, 2002 municipal reorganization of Quebec]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: integratedIntoQuebecCity Context triple: [Saint-Émile, integratedIntoQuebecCity, 2002 municipal reorganization of Quebec]
-
A.
dateMergedIntoMontreal
Indicates that an entity’s date corresponds to when it was officially merged into the city of Montreal.
-
B.
distanceFromQuebecCityCentre
Indicates the measured spatial distance between a given location and the center of Quebec City.
-
C.
populationRankInQuebec
Indicates the relative position of an entity in terms of population size compared to other entities within Quebec.
-
D.
isProvincialCityOf
Indicates that a city serves as an administrative or officially designated city within a specified province.
-
E.
terminusCanada
Indicates that something serves as an endpoint, destination, or terminal location within or specifically for Canada.
- F. None of above. chosen
Provenance (4 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_69d85cd46b2c819090d054c27787f677 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded7dfcb508190aec8cd667e27a8ea |
completed | April 15, 2026, 12:12 a.m. |
| PD | Predicate disambiguation | batch_69de9a67cbc481909c19c2de57de4eb7 |
completed | April 14, 2026, 7:50 p.m. |
| PDg | Predicate description generation | batch_69deb1a88d588190996afa8e5b32b552 |
completed | April 14, 2026, 9:29 p.m. |
Created at: April 10, 2026, 2:58 a.m.