Triple

T29953602
Position Surface form Disambiguated ID Type / Status
Subject LNER Class V2 E760834 entity
Predicate heritageStatusOfGreenArrow P923 FINISHED
Object National Collection
The National Collection is the United Kingdom’s core publicly owned assemblage of historically significant railway locomotives, rolling stock, and related artifacts preserved for the nation.
 E1890818 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: National Collection | Statement: [LNER Class V2, heritageStatusOfGreenArrow, National Collection]
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: National Collection
Triple: [LNER Class V2, heritageStatusOfGreenArrow, National Collection]
Generated description
The National Collection is the United Kingdom’s core publicly owned assemblage of historically significant railway locomotives, rolling stock, and related artifacts preserved for the nation.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: heritageStatusOfGreenArrow
Context triple: [LNER Class V2, heritageStatusOfGreenArrow, National Collection]
  • A. heritageStatus chosen
    Indicates that an entity holds a particular cultural, historical, or natural heritage designation or protection status.
  • B. cityHeritageStatus
    Indicates that a city holds a specific heritage designation or status, such as being recognized for its historical, cultural, or architectural significance.
  • C. hasHeritageStatusWithin
    Indicates that something holds a recognized heritage designation or status within a specified area, jurisdiction, or context.
  • D. heritageStatusChange
    Indicates a change in an entity’s cultural or historical heritage designation, such as being newly listed, upgraded, downgraded, or removed from heritage status.
  • E. governingBodyForLandmarkStatus
    Indicates the organization or authority that holds official responsibility for designating and overseeing a landmark’s protected or special status.
  • 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_69f2246562b881909d57622f4086d43d completed April 29, 2026, 3:31 p.m.
NER Named-entity recognition batch_69f757898fe48190b124dc7301672623 completed May 3, 2026, 2:11 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2714358bc881909e6d91db90885c64 completed June 8, 2026, 7:12 p.m.
NEDg Description generation batch_6a2714fbb97081909dc819a643c8f4bc completed June 8, 2026, 7:16 p.m.
NED2 Entity disambiguation (via description) batch_6a2717105a908190a5c50591a23785a6 completed June 8, 2026, 7:25 p.m.
PD Predicate disambiguation batch_69f754c484348190948d2a04ff228fb1 completed May 3, 2026, 1:59 p.m.
Created at: April 29, 2026, 6:26 p.m.