Triple

T31593832

Position	Surface form	Disambiguated ID	Type / Status
Subject	Midland Railway – Butterley	`E806169`	entity
Predicate	hasHeadquartersStation	`P52556`	FINISHED
Object	Butterley railway station Butterley railway station is a preserved heritage railway station in Derbyshire, England, serving as the main base for the Midland Railway – Butterley heritage line.	`E1968939`	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: Butterley railway station | Statement: [Midland Railway – Butterley, hasHeadquartersStation, Butterley railway 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: Butterley railway station
Triple: [Midland Railway – Butterley, hasHeadquartersStation, Butterley railway station]

Generated description

Butterley railway station is a preserved heritage railway station in Derbyshire, England, serving as the main base for the Midland Railway – Butterley heritage line.

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

Target predicate: hasHeadquartersStation
Context triple: [Midland Railway – Butterley, hasHeadquartersStation, Butterley railway station]

A. headquartersStation chosen
Indicates that a particular station serves as the main headquarters location for an organization or entity.
B. hasStationAt
Indicates that an entity maintains or operates a station located at a specified place.
C. isStationOf
Indicates that a given location functions as a station (e.g., transport or service hub) associated with or serving a particular system, line, route, or organization.
D. hasStationInCity
Indicates that a station or facility is located within a particular city.
E. hasFocalStations
Indicates that an entity is associated with one or more primary or central stations that serve as its main points of focus or operation.
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_69f348d4891c8190b02bae3c8ecb68b7`	completed	April 30, 2026, 12:19 p.m.
NER	Named-entity recognition	`batch_69fcec5f8b448190b48330a19b462d24`	completed	May 7, 2026, 7:47 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a2b56550d70819088b6012b38610d67`	completed	June 12, 2026, 12:44 a.m.
NEDg	Description generation	`batch_6a2b589839208190b8adc674ec46a413`	completed	June 12, 2026, 12:53 a.m.
NED2	Entity disambiguation (via description)	`batch_6a2b5ab9e418819084b93205bc7bb374`	completed	June 12, 2026, 1:02 a.m.
PD	Predicate disambiguation	`batch_69fceaf1e23881908ca24160a638e329`	completed	May 7, 2026, 7:41 p.m.

Created at: April 30, 2026, 10:29 p.m.