Triple
T24834232
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pawnee Parks and Recreation Department |
E621422
|
entity |
| Predicate | governingBodyFictional |
P61128
|
FINISHED |
| Object | Pawnee City Council |
—
|
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: Pawnee City Council | Statement: [Pawnee Parks and Recreation Department, governingBodyFictional, Pawnee City Council]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: governingBodyFictional Context triple: [Pawnee Parks and Recreation Department, governingBodyFictional, Pawnee City Council]
-
A.
governedByFictional
chosen
Indicates that one entity is under the rule, control, or authority of another entity that is fictional or exists only in an imagined context.
-
B.
fictionalUniverseOrganizationLed
Indicates that an organization is led or headed by a particular entity within a fictional universe.
-
C.
foundedByFictional
Indicates that an entity (such as an organization, place, or group) was established or created by a fictional character or entity.
-
D.
fictionalEntityType
Indicates that the subject is classified as a particular type or category of fictional entity within a narrative or imaginary context.
-
E.
worksForFictionalOrganization
Indicates that an entity is employed by or affiliated as a worker with a fictional organization.
- 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_69e2fac185d48190a0a6073ad1f6b792 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f606c79ad081908369605f72e65ca6 |
completed | May 2, 2026, 2:14 p.m. |
| PD | Predicate disambiguation | batch_69f602ce79ec8190b8336c2b9de18ac7 |
completed | May 2, 2026, 1:57 p.m. |
Created at: April 18, 2026, 5:17 a.m.