Triple
T29285002
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hamlet of Carmel |
E742484
|
entity |
| Predicate | hasPoliceAgency |
P13246
|
FINISHED |
| Object | Putnam County Sheriff’s Office |
—
|
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: Putnam County Sheriff’s Office | Statement: [Hamlet of Carmel, hasPoliceAgency, Putnam County Sheriff’s Office]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPoliceAgency Context triple: [Hamlet of Carmel, hasPoliceAgency, Putnam County Sheriff’s Office]
-
A.
hasPoliceInstitution
Indicates that an entity is associated with, governed by, or served by a particular police institution or law enforcement body.
-
B.
hasPoliceDepartment
chosen
Indicates that an entity possesses, is served by, or is administratively associated with a police department.
-
C.
hasPolicePartner
Indicates that one entity has another entity as its partner in a police or law-enforcement context.
-
D.
hasPoliceRole
Indicates that an entity holds or performs a specific role, duty, or function within a police or law enforcement context.
-
E.
hasPoliceDistrict
Indicates that an entity falls under the jurisdiction or coverage area of a specific police district.
- 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_69f09121ed8c8190b4cb27be3619c262 |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69fd592e48cc81909d754cc6c4bd99ae |
completed | May 8, 2026, 3:31 a.m. |
| PD | Predicate disambiguation | batch_69fd58b7f9b881909dc099b28d567784 |
completed | May 8, 2026, 3:30 a.m. |
Created at: April 28, 2026, 12:57 p.m.