Triple
T35703408
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vic Mackey’s Strike Team |
E1031648
|
entity |
| Predicate | operatesInFictionalDivision |
P163664
|
FINISHED |
| Object | Farmington District |
—
|
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: Farmington District | Statement: [Vic Mackey’s Strike Team, operatesInFictionalDivision, Farmington District]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operatesInFictionalDivision Context triple: [Vic Mackey’s Strike Team, operatesInFictionalDivision, Farmington District]
-
A.
hasFictionalPoliceDepartment
Indicates that an entity is associated with or features a police department that exists only within a fictional or imaginary context.
-
B.
hasDivisionFictional
chosen
Indicates that an entity includes or is associated with a fictional division, branch, or sub-unit.
-
C.
hasFictionalGovernmentAgency
Indicates that an entity includes, features, or is associated with a government agency that is fictional rather than real.
-
D.
hasFictionalAdministration
Indicates that an entity is governed, managed, or overseen by an administration that is fictional rather than real.
-
E.
operatesInFictionalSetting
Indicates that an entity carries out its activities or functions within a fictional or imaginary setting rather than a real-world context.
- 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_69f76e0d393c8190b6303c64408736db |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a017a360f088190acd5933aa353e763 |
completed | May 11, 2026, 6:41 a.m. |
| PD | Predicate disambiguation | batch_6a0179d3f78c8190b1d2e8829619fa54 |
completed | May 11, 2026, 6:40 a.m. |
Created at: May 3, 2026, 4:05 p.m.