Triple
T32969121
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Assembly of Valle del Cauca |
E843458
|
entity |
| Predicate | typeOfLegislationIssued |
P2588
|
FINISHED |
| Object | ordinances |
—
|
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: ordinances | Statement: [Assembly of Valle del Cauca, typeOfLegislationIssued, ordinances]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfLegislationIssued Context triple: [Assembly of Valle del Cauca, typeOfLegislationIssued, ordinances]
-
A.
typeOfLegislation
chosen
Indicates the specific category or kind of legislation that a given legal act or measure belongs to.
-
B.
legislativeActOf
Indicates a relationship where a legislative act is authored, enacted, or formally issued by a specific legislative body or authority.
-
C.
typeOfLegislationSponsored
Indicates the specific category or kind of legislation that an entity has sponsored.
-
D.
areaOfLegislation
Indicates that one entity defines, concerns, or governs the legal domain or subject matter covered by another entity.
-
E.
enablingLegislationFor
Indicates that one piece of legislation provides the legal authority, framework, or permission necessary for another law, program, or action to exist or operate.
- 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_69f3494b9fc48190bb61c955ba471275 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_6a008b8938608190adaccbd720111a18 |
completed | May 10, 2026, 1:43 p.m. |
| PD | Predicate disambiguation | batch_6a008b24baac8190baaaf50c2e9cc6bd |
completed | May 10, 2026, 1:41 p.m. |
Created at: May 1, 2026, 1:21 a.m.