Triple
T27159344
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tepic de Nervo |
E682614
|
entity |
| Predicate | languagePopulation |
P69010
|
FINISHED |
| Object | Spanish-speaking majority |
—
|
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: Spanish-speaking majority | Statement: [Tepic de Nervo, languagePopulation, Spanish-speaking majority]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languagePopulation Context triple: [Tepic de Nervo, languagePopulation, Spanish-speaking majority]
-
A.
languageInhabitants
chosen
Indicates that a particular language is spoken or used by the inhabitants of a specified place or region.
-
B.
countryPopulationContext
Indicates the contextual population characteristics or statistics associated with a specific country.
-
C.
keyPopulation
Indicates that the referenced entity belongs to a specific key population group that is of particular importance or priority in a given context (e.g., public health, policy, or services).
-
D.
corePopulationOf
Indicates that one entity is the primary or central population associated with, or constituting the main inhabitants of, another entity.
-
E.
hasPopulationCountry
Indicates that a specified population size is associated with, or belongs to, a particular country.
- 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_69eefacf6e788190a75a64399d9e3109 |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69fd0d0ba5c48190bddb3f0e6637544c |
completed | May 7, 2026, 10:07 p.m. |
| PD | Predicate disambiguation | batch_69fd0c4324a8819086c90adf46216e0e |
completed | May 7, 2026, 10:03 p.m. |
Created at: April 27, 2026, 9:18 a.m.