Triple
T33659511
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paratime |
E862311
|
entity |
| Predicate | hasFictionalLawEnforcementBody |
P95623
|
FINISHED |
| Object | Paratime Police |
—
|
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: Paratime Police | Statement: [Paratime, hasFictionalLawEnforcementBody, Paratime Police]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFictionalLawEnforcementBody Context triple: [Paratime, hasFictionalLawEnforcementBody, Paratime Police]
-
A.
hasFictionalPoliceDepartment
chosen
Indicates that an entity is associated with or features a police department that exists only within a fictional or imaginary context.
-
B.
hasFictionalGovernmentAgency
Indicates that an entity includes, features, or is associated with a government agency that is fictional rather than real.
-
C.
hasPoliceInstitution
Indicates that an entity is associated with, governed by, or served by a particular police institution or law enforcement body.
-
D.
rivalFictionalAgency
Indicates that one fictional agency stands in opposition or competition to another fictional agency.
-
E.
isPartOfLawEnforcementSystem
Indicates that an entity belongs to, operates within, or functionally contributes to a law enforcement system or framework.
- 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_69f34984c4008190bb82f33a7819da64 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69ff409ff5548190849c2d50e99bd807 |
completed | May 9, 2026, 2:11 p.m. |
| PD | Predicate disambiguation | batch_69ff401a5e188190a72f945e910b4a6c |
completed | May 9, 2026, 2:09 p.m. |
Created at: May 1, 2026, 1:42 a.m.