Triple
T30125339
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PCSO |
E765679
|
entity |
| Predicate | isSwornOfficer |
P168469
|
FINISHED |
| Object | false |
—
|
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: false | Statement: [PCSO, isSwornOfficer, false]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isSwornOfficer Context triple: [PCSO, isSwornOfficer, false]
-
A.
isMilitaryOfficer
Indicates that the subject holds an official position as an officer within a military organization.
-
B.
isMilitaryOffice
Indicates that an entity holds or is designated as a military office or official position within an armed forces structure.
-
C.
isLawEnforcement
Indicates that an entity serves in an official capacity to enforce laws, maintain public order, and uphold legal regulations.
-
D.
isSwornAgency
Indicates that one entity is formally pledged or obligated to act on behalf of another entity under an official or binding commitment.
-
E.
isOfficerOf
Indicates that one entity holds an official position, role, or office within another entity (such as an organization, group, or institution).
- F. None of above. chosen
Provenance (4 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_69f2247716748190ae4f16998f49ddf1 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f67def29e4819089a24fac521054f6 |
completed | May 2, 2026, 10:42 p.m. |
| PD | Predicate disambiguation | batch_69f673c664f08190b4d66cdc305e10db |
completed | May 2, 2026, 9:59 p.m. |
| PDg | Predicate description generation | batch_69f6749f205c81909d1aacf462912eee |
completed | May 2, 2026, 10:03 p.m. |
Created at: April 29, 2026, 7:14 p.m.