Triple
T27720337
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quemchi |
E698935
|
entity |
| Predicate | populationUrban2017 |
P122007
|
FINISHED |
| Object | 3622 |
—
|
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: 3622 | Statement: [Quemchi, populationUrban2017, 3622]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: populationUrban2017 Context triple: [Quemchi, populationUrban2017, 3622]
-
A.
hasUrbanPopulationIn
chosen
Indicates that an entity has a specified urban population within a particular geographic area or administrative unit.
-
B.
cityPopulationContext
Indicates the contextual relationship between a city and information about its population, such as size, distribution, or demographic characteristics.
-
C.
corePopulationOf
Indicates that one entity is the primary or central population associated with, or constituting the main inhabitants of, another entity.
-
D.
hasUrbanPopulationShare
Indicates the proportion of a population that resides in urban areas relative to the total population.
-
E.
metropolitanAreaPopulationApproximate
Indicates that the predicate specifies an approximate total population size for a given metropolitan area.
- 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_69ef591012dc8190a6f1ec994f9f7ff7 |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69f6fb19063c81909466b329655c8583 |
completed | May 3, 2026, 7:36 a.m. |
| PD | Predicate disambiguation | batch_69f6f969b4cc8190afb473a2d8b110bc |
completed | May 3, 2026, 7:29 a.m. |
Created at: April 27, 2026, 3:06 p.m.