Triple
T558081
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Division of Law Enforcement |
E11987
|
entity |
| Predicate | hasSwornStatus |
P16364
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Division of Law Enforcement, hasSwornStatus, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSwornStatus Context triple: [Division of Law Enforcement, hasSwornStatus, yes]
-
A.
oathSwornBefore
Indicates that an oath or solemn promise has been formally declared in the presence of a specified person, group, or authority.
-
B.
mayBeAffirmedRatherThanSworn
Indicates that a statement or testimony can be confirmed by affirmation instead of being given under a formal oath.
-
C.
hasMandate
Indicates that an entity is officially authorized or required to perform a specific role, action, or set of responsibilities.
-
D.
hasLegalStatus
Indicates that an entity possesses a particular legal classification, recognition, or standing under law.
-
E.
oathTakenBy
Indicates that an oath or formal promise has been made by a specific entity.
- 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_69a4932941d08190815efd422f0b4ca7 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a499dd84ec81909d2b309da057b9c6 |
completed | March 1, 2026, 7:56 p.m. |
| PD | Predicate disambiguation | batch_69a494bd78e8819083c519669158f209 |
completed | March 1, 2026, 7:34 p.m. |
| PDg | Predicate description generation | batch_69a4985952a481908b918350ececf484 |
completed | March 1, 2026, 7:49 p.m. |
Created at: March 1, 2026, 7:32 p.m.