Triple

T34602509
Position Surface form Disambiguated ID Type / Status
Subject New Cross Gate depot E888503 entity
Predicate servicedRollingStock P152978 FINISHED
Object Class 378 Capitalstar
Class 378 Capitalstar is a fleet of electric multiple-unit commuter trains used primarily on London Overground services in the United Kingdom.
 E2104181 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: Class 378 Capitalstar | Statement: [New Cross Gate depot, servicedRollingStock, Class 378 Capitalstar]
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: Class 378 Capitalstar
Triple: [New Cross Gate depot, servicedRollingStock, Class 378 Capitalstar]
Generated description
Class 378 Capitalstar is a fleet of electric multiple-unit commuter trains used primarily on London Overground services in the United Kingdom.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: servicedRollingStock
Context triple: [New Cross Gate depot, servicedRollingStock, Class 378 Capitalstar]
  • A. servicesRollingStock chosen
    Indicates that an entity provides operational services to or performs work on rolling stock (such as trains or rail vehicles).
  • B. ownedRollingStock
    Indicates that one entity possesses or has ownership rights over specific rolling stock (such as trains, railcars, or locomotives).
  • C. passengerRollingStock
    Indicates that the rolling stock is designed or used for carrying passengers rather than freight or other purposes.
  • D. formerRollingStock
    Indicates that an entity was previously used as rolling stock (e.g., railway vehicles) but no longer serves in that capacity.
  • E. relatedRollingStock
    Indicates a relationship between pieces of rolling stock that are associated with each other, such as through shared operations, configurations, or functional linkage.
  • 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_69f349d489d48190ba30e7d97c6f5ef9 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69fd4d1854988190be093b103a681798 completed May 8, 2026, 2:40 a.m.
NED1 Entity disambiguation (via context triple) batch_6a37411038288190ac92f9451183758b completed June 21, 2026, 1:40 a.m.
NEDg Description generation batch_6a374208897081909434c3a2e34d2d2f completed June 21, 2026, 1:44 a.m.
NED2 Entity disambiguation (via description) batch_6a3743223b3881909db5005278415166 completed June 21, 2026, 1:49 a.m.
PD Predicate disambiguation batch_69fd4c8d1a188190897c24527337814a completed May 8, 2026, 2:38 a.m.
Created at: May 1, 2026, 2:03 a.m.