Triple
T27699075
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | City of Monterrey |
E698377
|
entity |
| Predicate | metroAreaPopulation |
P1070
|
FINISHED |
| Object | over 5,000,000 |
—
|
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: over 5,000,000 | Statement: [City of Monterrey, metroAreaPopulation, over 5,000,000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: metroAreaPopulation Context triple: [City of Monterrey, metroAreaPopulation, over 5,000,000]
-
A.
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.
-
B.
metroArea
Indicates that one location is part of, or belongs to, a specified metropolitan area.
-
C.
metropolitanAreaPopulationApproximate
chosen
Indicates that the predicate specifies an approximate total population size for a given metropolitan area.
-
D.
populationMeasurementBy
Indicates that a population quantity or statistic is determined, recorded, or reported by a specified agent, method, or source.
-
E.
populationDensity
Indicates the number of individuals or entities occupying a unit area within a given region.
- 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_69ef590ea74081908f0cd7500d85fa27 |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69f635a1611881908cf175d623831a42 |
completed | May 2, 2026, 5:34 p.m. |
| PD | Predicate disambiguation | batch_69f62c1a92648190835a2c5250d8c758 |
completed | May 2, 2026, 4:53 p.m. |
Created at: April 27, 2026, 2:56 p.m.