Triple
T26814186
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tuluá |
E672079
|
entity |
| Predicate | populationRankInValleDelCauca |
P170362
|
FINISHED |
| Object | one of the largest cities after Cali |
—
|
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 largest cities after Cali | Statement: [Tuluá, populationRankInValleDelCauca, one of the largest cities after Cali]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: populationRankInValleDelCauca Context triple: [Tuluá, populationRankInValleDelCauca, one of the largest cities after Cali]
-
A.
populationRankInBogotá
Indicates the relative position of an entity in terms of population size compared to other entities within Bogotá.
-
B.
positionInColombia
Indicates that one entity occupies or is located at a specific position within the geographic boundaries of Colombia.
-
C.
mainColombianDepartment
Indicates that one entity is the primary administrative department (region) associated with another entity within Colombia.
-
D.
distanceFromBogotá
Indicates the spatial distance separating a given entity or location from the city of Bogotá.
-
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_69eeb3225a3c8190aaf6746efeded2f3 |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69f69063edbc81909e7735954aabee0b |
completed | May 3, 2026, 12:01 a.m. |
| PD | Predicate disambiguation | batch_69f68b78f29481908cc8f390496dee97 |
completed | May 2, 2026, 11:40 p.m. |
| PDg | Predicate description generation | batch_69f68f6584a88190a8c4d95c0c84bee9 |
completed | May 2, 2026, 11:57 p.m. |
Created at: April 27, 2026, 4:31 a.m.