Triple
T24834226
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pawnee Parks and Recreation Department |
E621422
|
entity |
| Predicate | rivalFictionalAgency |
P157392
|
FINISHED |
| Object | Eagleton Parks Department |
—
|
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: Eagleton Parks Department | Statement: [Pawnee Parks and Recreation Department, rivalFictionalAgency, Eagleton Parks Department]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rivalFictionalAgency Context triple: [Pawnee Parks and Recreation Department, rivalFictionalAgency, Eagleton Parks Department]
-
A.
hasFictionalGovernmentAgency
Indicates that an entity includes, features, or is associated with a government agency that is fictional rather than real.
-
B.
enforcementAgency
Indicates that one entity serves as the authority responsible for enforcing laws, rules, or regulations related to another entity.
-
C.
intelligenceAgencyHeadquartersOf
Indicates that one entity serves as the main headquarters location for a specified intelligence agency.
-
D.
secretAgencyName
Indicates that an entity is the name or designation of a secret or covert agency associated with another entity.
-
E.
intelligenceAgencyOpposed
Indicates that an intelligence agency actively resists, obstructs, or works against a particular actor, policy, operation, or objective.
- 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_69e2fac185d48190a0a6073ad1f6b792 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f43043512481909501a3979cac9947 |
completed | May 1, 2026, 4:46 a.m. |
| PD | Predicate disambiguation | batch_69f420fd375c81908ea4a4e60b76ee8f |
completed | May 1, 2026, 3:41 a.m. |
| PDg | Predicate description generation | batch_69f4303fad6c8190844f069164f0904d |
completed | May 1, 2026, 4:46 a.m. |
Created at: April 18, 2026, 5:17 a.m.