Triple
T27135957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Perales Airport |
E681685
|
entity |
| Predicate | departmentServed |
P162510
|
FINISHED |
| Object | Tolima Department |
—
|
NE NERFINISHED |
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: Tolima Department | Statement: [Perales Airport, departmentServed, Tolima Department]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: departmentServed Context triple: [Perales Airport, departmentServed, Tolima Department]
-
A.
sectorServed
Indicates the industry or economic sector that an entity primarily serves or targets with its activities, products, or services.
-
B.
governmentBranchServed
Indicates that an entity has served in or been a member of a particular branch of government.
-
C.
divisionServes
Indicates that a particular division provides services or support to, or operates on behalf of, another entity.
-
D.
departmentType
Indicates the classification or category of a department, specifying what kind of department it is.
-
E.
serviceBranch
Indicates the military or organizational branch in which an entity serves or is affiliated.
- 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_69eefacbcc2081909ebf00daa23f1981 |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69f62b9e5ba88190a3c0d46edec7afe7 |
completed | May 2, 2026, 4:51 p.m. |
| PD | Predicate disambiguation | batch_69f623a91b9c8190b2e2fdbc55cb89b6 |
completed | May 2, 2026, 4:17 p.m. |
| PDg | Predicate description generation | batch_69f625402d808190be8279d895d2b27f |
completed | May 2, 2026, 4:24 p.m. |
Created at: April 27, 2026, 9:07 a.m.