Triple
T27534542
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hutton |
E695061
|
entity |
| Predicate | hasPoliceTrainingFacilities |
P127438
|
FINISHED |
| Object | Lancashire Constabulary |
—
|
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: Lancashire Constabulary | Statement: [Hutton, hasPoliceTrainingFacilities, Lancashire Constabulary]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPoliceTrainingFacilities Context triple: [Hutton, hasPoliceTrainingFacilities, Lancashire Constabulary]
-
A.
hasPoliceAcademy
chosen
Indicates that an entity operates, is associated with, or includes a police academy as part of its structure or services.
-
B.
hasPoliceInstitution
Indicates that an entity is associated with, governed by, or served by a particular police institution or law enforcement body.
-
C.
lawEnforcementCertification
Indicates that an entity has been officially certified or authorized to perform law enforcement duties.
-
D.
hasFlightTrainingFacility
Indicates that an entity provides or hosts a facility where flight training or pilot instruction is conducted.
-
E.
hasPoliceDepartment
Indicates that an entity possesses, is served by, or is administratively associated with a police department.
- 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_69ef538608b081908b9f659bb09d5e0f |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69fb2e940d5c8190bceae77daf4ef512 |
completed | May 6, 2026, 12:05 p.m. |
| PD | Predicate disambiguation | batch_69f9fec70bd881909c658a3c5020318b |
completed | May 5, 2026, 2:29 p.m. |
Created at: April 27, 2026, 1:28 p.m.