Triple
T15613229
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LAPD Mounted Platoon |
E375349
|
entity |
| Predicate | animalCareRequirement |
P70949
|
FINISHED |
| Object | daily horse care and grooming |
—
|
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: daily horse care and grooming | Statement: [LAPD Mounted Platoon, animalCareRequirement, daily horse care and grooming]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: animalCareRequirement Context triple: [LAPD Mounted Platoon, animalCareRequirement, daily horse care and grooming]
-
A.
companionAnimals
Indicates a relationship where one entity keeps or cares for another entity as a pet or companion animal.
-
B.
animalTypeServed
Indicates the type or category of animal that is provided or served in a given context.
-
C.
usesAnimalCarcass
Indicates that an entity makes use of an animal’s dead body or its remains for some purpose.
-
D.
petPolicy
Indicates the rules or conditions governing whether and how pets are allowed in relation to a place, service, or arrangement.
-
E.
animalWelfarePractice
chosen
Indicates practices, actions, or policies that affect the well-being, treatment, and living conditions of animals.
- 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_69d85ccf2794819096cda4cbcb02d478 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e8148a0819087d6d69cc84487ca |
completed | April 16, 2026, 2:50 a.m. |
| PD | Predicate disambiguation | batch_69deda844af081909e658ebc9d9b403d |
completed | April 15, 2026, 12:23 a.m. |
Created at: April 10, 2026, 4:13 a.m.