Triple
T8072755
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cordillera Occidental |
E188415
|
entity |
| Predicate | positionInColombia |
P80344
|
FINISHED |
| Object | westernmost Andean range |
—
|
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: westernmost Andean range | Statement: [Cordillera Occidental, positionInColombia, westernmost Andean range]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionInColombia Context triple: [Cordillera Occidental, positionInColombia, westernmost Andean range]
-
A.
distanceFromBogotá
Indicates the spatial distance separating a given entity or location from the city of Bogotá.
-
B.
directionFromBogotá
Indicates the cardinal or relative compass direction in which one place or object lies when measured from Bogotá.
-
C.
nameInColombia
Indicates that an entity is known or referred to by a particular name specifically within the context of Colombia.
-
D.
distanceToSantaMarta
Indicates the measured spatial distance between a given entity’s location and the location of Santa Marta.
-
E.
populationRankInVenezuela
Indicates the relative position of an entity in terms of population size compared to other entities within Venezuela.
- 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_69ca82b50c708190863f661d438e68df |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb40482200819086c639f64c01fbb5 |
completed | March 31, 2026, 3:32 a.m. |
| PD | Predicate disambiguation | batch_69cb049cd51c8190bb3b0f503e42fa8d |
completed | March 30, 2026, 11:17 p.m. |
| PDg | Predicate description generation | batch_69cb14be17208190bb51c3dfcb613f20 |
completed | March 31, 2026, 12:26 a.m. |
Created at: March 30, 2026, 5:27 p.m.