Triple
T7455380
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arauca Department |
E172108
|
entity |
| Predicate | establishedAsDepartment |
P13120
|
FINISHED |
| Object | 1991 |
—
|
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: 1991 | Statement: [Arauca Department, establishedAsDepartment, 1991]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: establishedAsDepartment Context triple: [Arauca Department, establishedAsDepartment, 1991]
-
A.
offeredByDepartment
Indicates that something, such as a course or program, is provided or made available by a specific department.
-
B.
establishedInAdministrativeUnit
chosen
Indicates that something (such as an organization, facility, or institution) was founded or formally created within a specific administrative unit or jurisdiction.
-
C.
department
Indicates that one entity functions as an organizational unit or division within another, typically larger, entity.
-
D.
departmentType
Indicates the classification or category of a department, specifying what kind of department it is.
-
E.
establishedAs
Indicates that one entity is formally created, designated, or recognized in a particular role, status, or identity as another entity.
- 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_69c68a66554c8190add75c65942c0317 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f3af58dc819093fb0482482779a3 |
completed | March 27, 2026, 9:16 p.m. |
| PD | Predicate disambiguation | batch_69c6f039f7248190bb4183f97b605763 |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:15 p.m.