Triple

T21804454
Position Surface form Disambiguated ID Type / Status
Subject Mark 4 coaching stock E538313 entity
Predicate enteredRefurbishment P86076 FINISHED
Object 2000s LITERAL FINISHED

How this triple was built (2 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: 2000s | Statement: [Mark 4 coaching stock, enteredRefurbishment, 2000s]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: enteredRefurbishment
Context triple: [Mark 4 coaching stock, enteredRefurbishment, 2000s]
  • A. refurbishedIn chosen
    Indicates that an entity has undergone restoration, repair, or renovation at a specific time or during a particular period.
  • B. renovationOccasion
    Indicates the event, reason, or context that serves as the occasion for a renovation to take place.
  • C. requiresRenovation
    Indicates that an entity is in a condition that necessitates repair, updating, or refurbishment before it is suitable for normal use or standards.
  • D. rebuiltInterior
    Indicates that the interior of an entity has been reconstructed or significantly renovated, typically after damage, aging, or redesign.
  • E. useAfterRenovation
    Indicates that something is intended to be used or occupied only after renovation work has been completed.
  • F. None of above.

Provenance (3 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_69e0c4733f4081909a86622e7e6d15d2 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f07801fa8081909098d00947bf8f7f completed April 28, 2026, 9:04 a.m.
PD Predicate disambiguation batch_69e6be751ce881909badced245ef76c7 completed April 21, 2026, 12:01 a.m.
Created at: April 16, 2026, 6:53 p.m.