Triple
T19602463
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Unidad Central Operativa |
E470512
|
entity |
| Predicate | lawEnforcementSystem |
P66239
|
FINISHED |
| Object | Spanish law enforcement system |
—
|
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: Spanish law enforcement system | Statement: [Unidad Central Operativa, lawEnforcementSystem, Spanish law enforcement system]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lawEnforcementSystem Context triple: [Unidad Central Operativa, lawEnforcementSystem, Spanish law enforcement system]
-
A.
policeSystem
chosen
Indicates a relationship where an entity functions as, belongs to, or is governed by a system of law enforcement or policing.
-
B.
lawEnforcementContext
Indicates that the relationship or action occurs within, is shaped by, or is relevant to a law enforcement setting, process, or activity.
-
C.
lawEnforcementLabel
Indicates that an entity has been designated, tagged, or classified by a law enforcement authority for monitoring, identification, or investigative purposes.
-
D.
lawEnforcementFunction
Indicates that an entity performs, is responsible for, or is associated with official law enforcement duties or activities.
-
E.
typeOfLawEnforcement
Indicates that one entity is a specific kind or category of law enforcement associated with 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_69d8e510024481908415c0d616fa6186 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e64080a57c8190837cbe82b93163bf |
completed | April 20, 2026, 3:04 p.m. |
| PD | Predicate disambiguation | batch_69e514e166dc8190a0f147e0b4c8bbe7 |
completed | April 19, 2026, 5:46 p.m. |
Created at: April 10, 2026, 1:43 p.m.