Triple
T26961874
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bogotá and Medellín |
E679065
|
entity |
| Predicate | areMajorCentersOf |
P164
|
FINISHED |
| Object | politics in Colombia |
—
|
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: politics in Colombia | Statement: [Bogotá and Medellín, areMajorCentersOf, politics in Colombia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: areMajorCentersOf Context triple: [Bogotá and Medellín, areMajorCentersOf, politics in Colombia]
-
A.
isMajorCenterOf
chosen
Indicates that a place serves as a primary hub or focal point for a particular activity, function, or domain.
-
B.
capitalOrMajorCenter
Indicates that a location serves as a capital city or a primary major center (political, economic, or cultural hub) for a larger region or entity.
-
C.
majorPopulationCenter
Indicates that a location functions as a primary hub of population concentration and activity within a region.
-
D.
hasCentralCities
Indicates that an entity is associated with one or more cities that serve as its primary or central urban locations.
-
E.
majorUrbanCenterIn
Indicates that a city or metropolitan area functions as a primary or significant urban center within the specified region or administrative unit.
- 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_69eeeb4f3a448190b1e94b2d4776c16e |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f620ec8e108190966b7b8142a3e28d |
completed | May 2, 2026, 4:06 p.m. |
| PD | Predicate disambiguation | batch_69f611af72ac819094598dd2530d7411 |
completed | May 2, 2026, 3:01 p.m. |
Created at: April 27, 2026, 6:32 a.m.