Triple
T27366674
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cúcuta |
E690182
|
entity |
| Predicate | departmentalGovernmentSeat |
P761
|
FINISHED |
| Object | Government of Norte de Santander |
—
|
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: Government of Norte de Santander | Statement: [Cúcuta, departmentalGovernmentSeat, Government of Norte de Santander]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: departmentalGovernmentSeat Context triple: [Cúcuta, departmentalGovernmentSeat, Government of Norte de Santander]
-
A.
seatOfDepartmentalCouncil
Indicates the location where a departmental council holds its official seat or headquarters.
-
B.
seatOfGovernmentBranch
Indicates the branch or division of government for which a particular location serves as the seat of authority or administration.
-
C.
seatOfGovernment
chosen
Indicates that a location serves as the administrative center where a government exercises its official authority and conducts its primary governing functions.
-
D.
headquartersOfOffice
Indicates that a particular location serves as the main headquarters for a specified office or organizational unit.
-
E.
placeOfOffice
Indicates the location where an office or official position is held or based.
- 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_69ef51ff826081909e42c8e2bfb97941 |
completed | April 27, 2026, 12:09 p.m. |
| NER | Named-entity recognition | batch_69f62cd2ceb481908cd9fae52a542206 |
completed | May 2, 2026, 4:56 p.m. |
| PD | Predicate disambiguation | batch_69f62c1762f881908c25e8f70ecd5041 |
completed | May 2, 2026, 4:53 p.m. |
Created at: April 27, 2026, 12:17 p.m.