Triple
T26092562
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suba, Bogotá |
E658165
|
entity |
| Predicate | populationRankInBogotá |
P165841
|
FINISHED |
| Object | one of the most populous localities |
—
|
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: one of the most populous localities | Statement: [Suba, Bogotá, populationRankInBogotá, one of the most populous localities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: populationRankInBogotá Context triple: [Suba, Bogotá, populationRankInBogotá, one of the most populous localities]
-
A.
distanceFromBogotá
Indicates the spatial distance separating a given entity or location from the city of Bogotá.
-
B.
positionInColombia
Indicates that one entity occupies or is located at a specific position within the geographic boundaries of Colombia.
-
C.
directionFromBogotá
Indicates the cardinal or relative compass direction in which one place or object lies when measured from Bogotá.
-
D.
distanceFromMedellín
Indicates the measured spatial distance between an entity and the city of Medellín.
-
E.
populationRankInCommunityOfMadrid
Indicates the relative position of an entity in terms of population size compared to other entities within the Community of Madrid.
- F. None of above. chosen
Provenance (4 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_69ee5bbfc4d08190a1b206d0ac3a1e8d |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69f65b14512c8190a40e70319dcc54cd |
completed | May 2, 2026, 8:14 p.m. |
| PD | Predicate disambiguation | batch_69f659cc571c819097e51e531961d812 |
completed | May 2, 2026, 8:08 p.m. |
| PDg | Predicate description generation | batch_69f65a9cb0bc8190bf8a9b319900bad5 |
completed | May 2, 2026, 8:12 p.m. |
Created at: April 26, 2026, 7:48 p.m.