Triple

T33103526

Position	Surface form	Disambiguated ID	Type / Status
Subject	Shelbyville	`E847122`	entity
Predicate	hasFireDepartmentInFiction	`P78750`	FINISHED
Object	Shelbyville Fire Department The Shelbyville Fire Department is the fictional firefighting and emergency response agency serving the rival town of Shelbyville in the animated television series "The Simpsons."	`E2036168`	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: Shelbyville Fire Department | Statement: [Shelbyville, hasFireDepartmentInFiction, Shelbyville Fire 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: Shelbyville Fire Department
Triple: [Shelbyville, hasFireDepartmentInFiction, Shelbyville Fire Department]

Generated description

The Shelbyville Fire Department is the fictional firefighting and emergency response agency serving the rival town of Shelbyville in the animated television series "The Simpsons."

PD Predicate disambiguation gpt-5-mini-2025-08-07

Target predicate: hasFireDepartmentInFiction
Context triple: [Shelbyville, hasFireDepartmentInFiction, Shelbyville Fire Department]

A. hasFictionalPoliceDepartment
Indicates that an entity is associated with or features a police department that exists only within a fictional or imaginary context.
B. hasDepartmentInFiction chosen
Indicates that a fictional work includes or features a specific department as part of its setting or narrative.
C. hasFireServicesFrom
Indicates that one entity receives fire protection or firefighting services from another entity.
D. worksAtFictionalPlace
Indicates that an entity is employed at or associated with performing work in a fictional or imaginary location.
E. hasBranchInFictionalLocation
Indicates that an organization maintains a branch, office, or presence within a fictional or imaginary location.
F. None of above.

Provenance (6 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_69f3495686508190b76bf20fa5e00bf7`	completed	April 30, 2026, 12:21 p.m.
NER	Named-entity recognition	`batch_69ff069ec1348190815375c5c9e38404`	completed	May 9, 2026, 10:04 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a34f0313d508190b1c8f714daffbb50`	completed	June 19, 2026, 7:30 a.m.
NEDg	Description generation	`batch_6a34f3b48d6c8190a95aebe113e72028`	completed	June 19, 2026, 7:45 a.m.
NED2	Entity disambiguation (via description)	`batch_6a34f43667e481909d14bd45b744a85f`	completed	June 19, 2026, 7:48 a.m.
PD	Predicate disambiguation	`batch_69ff05ba57f88190a45d20f18044e0fb`	completed	May 9, 2026, 10 a.m.

Created at: May 1, 2026, 1:26 a.m.