Triple
T30394035
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FBI Reddington Task Force |
E773163
|
entity |
| Predicate | jurisdictionInFiction |
P122658
|
FINISHED |
| Object | federal crimes |
—
|
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: federal crimes | Statement: [FBI Reddington Task Force, jurisdictionInFiction, federal crimes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: jurisdictionInFiction Context triple: [FBI Reddington Task Force, jurisdictionInFiction, federal crimes]
-
A.
fictionalJurisdiction
chosen
Indicates that one entity has legal authority or governance over another within an invented or imaginary legal system or territory.
-
B.
definedJurisdictionOf
Indicates that one entity formally establishes or specifies the scope, boundaries, or authority of another entity’s jurisdiction.
-
C.
legalJurisdiction
Indicates the legal authority or geographic area whose laws and courts have the power to govern, regulate, or adjudicate matters involving the related entities.
-
D.
copyrightJurisdiction
Indicates the legal jurisdiction under whose laws the copyright for a work is established or governed.
-
E.
jurisdictionTopic
Indicates that a legal or authoritative jurisdiction concerns, governs, or is relevant to a particular topic or subject matter.
- 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_69f2248ef0a48190aa54d4d8ac3e5758 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f685aaa3608190a92f22abfa56ba8a |
completed | May 2, 2026, 11:15 p.m. |
| PD | Predicate disambiguation | batch_69f678d019fc8190913662cd2f87b857 |
completed | May 2, 2026, 10:21 p.m. |
Created at: April 29, 2026, 8:02 p.m.