Triple
T11393642
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint John, New Brunswick |
E269909
|
entity |
| Predicate | hasMetroPopulation |
P1070
|
FINISHED |
| Object | ~126000 |
—
|
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: ~126000 | Statement: [Saint John, New Brunswick, hasMetroPopulation, ~126000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMetroPopulation Context triple: [Saint John, New Brunswick, hasMetroPopulation, ~126000]
-
A.
metropolitanAreaPopulationApproximate
chosen
Indicates that the predicate specifies an approximate total population size for a given metropolitan area.
-
B.
metroPopulationContext
Indicates that the population value is measured or interpreted specifically within the context of a metropolitan area (metro region) rather than another geographic or administrative unit.
-
C.
hasMetropolitan
Indicates that an entity is associated with, served by, or located within a specific metropolitan area.
-
D.
isMetropolitanFor
Indicates that one entity serves as the primary metropolitan center or urban hub for another entity (such as a region, area, or service).
-
E.
isInMetropolitanAreaRank
Indicates that one metropolitan area holds a specific rank or position relative to others based on a defined metropolitan-area-related criterion (such as size, population, or importance).
- 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_69d6aacdbc6c8190af6dc3d5f5d22836 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d8001796f48190822526f52e3f0337 |
completed | April 9, 2026, 7:37 p.m. |
| PD | Predicate disambiguation | batch_69d7e70b228c8190b87f5101fd683788 |
completed | April 9, 2026, 5:51 p.m. |
Created at: April 8, 2026, 9:34 p.m.