Triple

T35361465

Position	Surface form	Disambiguated ID	Type / Status
Subject	Brickleberry National Park	`E1021495`	entity
Predicate	hasRangerStation	`P105426`	FINISHED
Object	Brickleberry Ranger Station Brickleberry Ranger Station is the main workplace and central setting for the dysfunctional park rangers in the animated comedy series "Brickleberry."	`E2136430`	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: Brickleberry Ranger Station | Statement: [Brickleberry National Park, hasRangerStation, Brickleberry Ranger Station]

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: Brickleberry Ranger Station
Triple: [Brickleberry National Park, hasRangerStation, Brickleberry Ranger Station]

Generated description

Brickleberry Ranger Station is the main workplace and central setting for the dysfunctional park rangers in the animated comedy series "Brickleberry."

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

Target predicate: hasRangerStation
Context triple: [Brickleberry National Park, hasRangerStation, Brickleberry Ranger Station]

A. hasRangerDistrict
Indicates that an entity is associated with, managed by, or located within a specific ranger district.
B. hasStationAt chosen
Indicates that an entity maintains or operates a station located at a specified place.
C. hasFireStation
Indicates that a location or area contains or is served by a fire station.
D. hasGagingStation
Indicates that one entity is equipped with, or associated with, a gaging station used to measure and monitor conditions such as water level or flow.
E. hasStationNear
Indicates that one entity has a station located in close proximity to another entity.
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_69f76def44c881908a20e8008572eb44`	completed	May 3, 2026, 3:46 p.m.
NER	Named-entity recognition	`batch_69fd5f29b1988190877764ef2a399c7f`	completed	May 8, 2026, 3:57 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a3823db96fc819084883c17cf0fd3fd`	completed	June 21, 2026, 5:48 p.m.
NEDg	Description generation	`batch_6a382496eb30819081ec6e3c0f8c7137`	completed	June 21, 2026, 5:51 p.m.
NED2	Entity disambiguation (via description)	`batch_6a3825d213688190aefa08d3d21f6b75`	completed	June 21, 2026, 5:56 p.m.
PD	Predicate disambiguation	`batch_69fd5e30194c819085b5ce586122ab37`	completed	May 8, 2026, 3:53 a.m.

Created at: May 3, 2026, 4:03 p.m.