Triple
T23302966
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | El Jicaral |
E590353
|
entity |
| Predicate | populationCenterStatus |
P11334
|
FINISHED |
| Object | population center |
—
|
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: population center | Statement: [El Jicaral, populationCenterStatus, population center]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: populationCenterStatus Context triple: [El Jicaral, populationCenterStatus, population center]
-
A.
modernPopulationCenters
Indicates that the related entities are contemporary, significant population hubs where large numbers of people currently live and concentrate.
-
B.
hasPopulationCenterType
chosen
Indicates the classification of a population center by its type, such as city, town, village, or other settlement category.
-
C.
hasPopulationCenter
Indicates that an area, region, or administrative unit contains or is served by a primary settlement or population hub.
-
D.
populationState
Indicates the condition or status of a population at a given point in time, such as its size, distribution, or demographic characteristics.
-
E.
populationFocus
Indicates that something is primarily directed toward, concerned with, or designed for a particular population or demographic group.
- 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_69e25d1c0ecc8190a355aa229f06d0e0 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1972406a08190bbf355cc7a9f8432 |
completed | April 29, 2026, 5:29 a.m. |
| PD | Predicate disambiguation | batch_69effcf325f88190b320268c3c551abb |
completed | April 28, 2026, 12:18 a.m. |
Created at: April 17, 2026, 5:04 p.m.