Triple
T10183083
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West Palm Beach Police Department |
E236834
|
entity |
| Predicate | sectorCategory |
P71
|
FINISHED |
| Object | law enforcement in Florida |
—
|
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: law enforcement in Florida | Statement: [West Palm Beach Police Department, sectorCategory, law enforcement in Florida]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sectorCategory Context triple: [West Palm Beach Police Department, sectorCategory, law enforcement in Florida]
-
A.
ownerSector
Indicates the sector or industry category to which the owner of an entity belongs.
-
B.
sector
chosen
Indicates that an entity operates in, belongs to, or is associated with a particular economic or industrial sector.
-
C.
notableSector
Indicates that an entity is particularly prominent, influential, or significant within a specified sector or industry.
-
D.
sectorBase
Indicates that one entity serves as the primary base or foundational location for operations within a particular sector of another entity.
-
E.
sectorServed
Indicates the industry or economic sector that an entity primarily serves or targets with its activities, products, or services.
- 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_69ca84d7260c8190bfbec36762943f37 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cded3408b88190a7d981a6dcea48d9 |
completed | April 2, 2026, 4:14 a.m. |
| PD | Predicate disambiguation | batch_69cd7c79f21c8190a7f31b2eab80b8ba |
completed | April 1, 2026, 8:13 p.m. |
Created at: March 30, 2026, 9:12 p.m.