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 The Eagleton Parks Department is a fictional, affluent, and snobbish municipal agency from the TV show "Parks and Recreation," serving as the wealthy rival to Pawnee’s parks department.	`E1651576`	NE FINISHED

How this triple was built (3 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]

NEDg Description generation gpt-5.1

Instruction

Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"

Input

Entity: Eagleton Parks Department
Triple: [Pawnee Parks and Recreation Department, rivalFictionalAgency, Eagleton Parks Department]

Generated description

The Eagleton Parks Department is a fictional, affluent, and snobbish municipal agency from the TV show "Parks and Recreation," serving as the wealthy rival to Pawnee’s 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 (7 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.
NED1	Entity disambiguation (via context triple)	`batch_6a101c481e548190b8cd8c27bde23ecb`	completed	May 22, 2026, 9:05 a.m.
NEDg	Description generation	`batch_6a10261573088190b225fcc6ca7bd578`	completed	May 22, 2026, 9:47 a.m.
NED2	Entity disambiguation (via description)	`batch_6a10268e1cb88190b5b4a63a950e1509`	completed	May 22, 2026, 9:49 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.