Triple

T38043686

Position	Surface form	Disambiguated ID	Type / Status
Subject	Kupiškis	`E949557`	entity
Predicate	hasEldershipCenterRole	`P81461`	FINISHED
Object	Kupiškis Eldership Kupiškis Eldership is an administrative subdivision in Lithuania centered on the town of Kupiškis, responsible for local governance and public services in its surrounding area.	`E2253614`	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: Kupiškis Eldership | Statement: [Kupiškis, hasEldershipCenterRole, Kupiškis Eldership]

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: Kupiškis Eldership
Triple: [Kupiškis, hasEldershipCenterRole, Kupiškis Eldership]

Generated description

Kupiškis Eldership is an administrative subdivision in Lithuania centered on the town of Kupiškis, responsible for local governance and public services in its surrounding area.

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

Target predicate: hasEldershipCenterRole
Context triple: [Kupiškis, hasEldershipCenterRole, Kupiškis Eldership]

A. hasLocalGovernanceRole chosen
Indicates that an entity holds an official position or responsibility within a local or municipal governing body.
B. hasTempleDistrictRole
Indicates that an entity holds a specific role or function within a temple district.
C. hasGoverningRole
Indicates that one entity holds an official position of authority, control, or governance over another entity or domain.
D. isPillarOf
Indicates that one entity serves as a fundamental support, foundation, or mainstay for another entity, often crucial to its stability, success, or existence.
E. hasCityRole
Indicates that an entity holds or is assigned a specific role, function, or status within a particular city.
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_69f76eff0bb0819084bc4e63997bd039`	completed	May 3, 2026, 3:51 p.m.
NER	Named-entity recognition	`batch_69fd0b92f42881908cd77e3f058adcc2`	completed	May 7, 2026, 10 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a41544b1c548190b290913b9db701c1`	completed	June 28, 2026, 5:05 p.m.
NEDg	Description generation	`batch_6a4155ae18d88190be14c9826fa5dc10`	completed	June 28, 2026, 5:11 p.m.
NED2	Entity disambiguation (via description)	`batch_6a41562cceb48190a7caab5812f3d4eb`	completed	June 28, 2026, 5:13 p.m.
PD	Predicate disambiguation	`batch_69fd0a3d68d4819094d92040f7c48d7c`	completed	May 7, 2026, 9:55 p.m.

Created at: May 3, 2026, 4:20 p.m.