Triple

T33160283

Position	Surface form	Disambiguated ID	Type / Status
Subject	LNER Class A4 4498 Sir Nigel Gresley	`E848709`	entity
Predicate	belongsToClassFamily	`P4276`	FINISHED
Object	Gresley Pacifics Gresley Pacifics are a series of high-speed 4-6-2 steam locomotives designed by Sir Nigel Gresley for the London and North Eastern Railway, renowned for their streamlined design and record-breaking performance.	`E2038834`	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: Gresley Pacifics | Statement: [LNER Class A4 4498 Sir Nigel Gresley, belongsToClassFamily, Gresley Pacifics]

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: Gresley Pacifics
Triple: [LNER Class A4 4498 Sir Nigel Gresley, belongsToClassFamily, Gresley Pacifics]

Generated description

Gresley Pacifics are a series of high-speed 4-6-2 steam locomotives designed by Sir Nigel Gresley for the London and North Eastern Railway, renowned for their streamlined design and record-breaking performance.

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

Target predicate: belongsToClassFamily
Context triple: [LNER Class A4 4498 Sir Nigel Gresley, belongsToClassFamily, Gresley Pacifics]

A. belongsToFamily chosen
Indicates that an entity is a member of, or is associated as part of, a specific family group.
B. belongsToDynamicalFamily
Indicates that one entity is a member of, or classified within, a specific dynamical family defined by shared motion or evolution characteristics.
C. belongsToPackageFamily
Indicates that one item is a member of, or associated with, a specific package family.
D. belongsToFrameworkFamily
Indicates that one framework is a member of, or categorized under, a broader framework family or grouping.
E. belongsToMacrofamily
Indicates that a language is classified as part of a larger proposed language macrofamily.
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_69f3495b02d08190bb3d366823dffc21`	completed	April 30, 2026, 12:21 p.m.
NER	Named-entity recognition	`batch_69ff136ed2a881908f713401083970d1`	completed	May 9, 2026, 10:58 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a3516337c5c8190b82e16fa2b434b5e`	completed	June 19, 2026, 10:13 a.m.
NEDg	Description generation	`batch_6a35173b4208819081ae5cb7f63a8a31`	completed	June 19, 2026, 10:17 a.m.
NED2	Entity disambiguation (via description)	`batch_6a351b1096ec8190874b8552f485c3fe`	completed	June 19, 2026, 10:33 a.m.
PD	Predicate disambiguation	`batch_69ff10f9e3448190b6cb6ea5a67713c1`	completed	May 9, 2026, 10:48 a.m.

Created at: May 1, 2026, 1:28 a.m.