Triple
T7098712
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Troop A |
E165396
|
entity |
| Predicate | policeAgencyLevel |
P33005
|
FINISHED |
| Object | state |
—
|
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: state | Statement: [Troop A, policeAgencyLevel, state]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: policeAgencyLevel Context triple: [Troop A, policeAgencyLevel, state]
-
A.
lawEnforcementLevel
chosen
Indicates the degree or intensity of law enforcement presence, activity, or strictness applied in a given context.
-
B.
enforcementAgency
Indicates that one entity serves as the authority responsible for enforcing laws, rules, or regulations related to another entity.
-
C.
policeBureau
Indicates that an entity functions as or is associated with a police bureau or police department.
-
D.
policeRank
Indicates that one entity holds a specific rank or position within a police organization relative to another entity.
-
E.
policePrecinct
Indicates that a specified location, building, or area functions as or is designated as a police precinct.
- 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_69c6887fcddc8190a5d58908f6dee590 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e557c0108190891ca1be84f21601 |
completed | March 27, 2026, 8:15 p.m. |
| PD | Predicate disambiguation | batch_69c6e1c313e481908b61a23fc89f9332 |
completed | March 27, 2026, 8 p.m. |
Created at: March 27, 2026, 2:42 p.m.