Triple

T25022740
Position Surface form Disambiguated ID Type / Status
Subject British Rail Class 57 E626622 entity
Predicate rebuildStartYear P23768 FINISHED
Object 1997 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: 1997 | Statement: [British Rail Class 57, rebuildStartYear, 1997]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: rebuildStartYear
Context triple: [British Rail Class 57, rebuildStartYear, 1997]
  • A. constructionResumptionYear
    Indicates the year in which a previously halted or paused construction activity was resumed.
  • B. rebuiltApproximateEndYear
    Indicates that an entity was rebuilt, with the specified year representing an approximate (not exact) end date of the rebuilding process.
  • C. reconstructionYear
    Indicates the year in which something was rebuilt, restored, or reconstructed after damage, alteration, or destruction.
  • D. reconstructionStartYear chosen
    Indicates the calendar year in which a reconstruction process or project began.
  • E. rebuildingCycleYears
    Indicates the number of years that typically pass between successive rebuilding or reconstruction cycles of something.
  • 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_69e2ff28ee3881909c626af002457a4a completed April 18, 2026, 3:48 a.m.
NER Named-entity recognition batch_69f44f672d50819094261f5522c939e4 completed May 1, 2026, 6:59 a.m.
PD Predicate disambiguation batch_69f442c0c2e88190acd7f170f10ccef6 completed May 1, 2026, 6:05 a.m.
Created at: April 18, 2026, 6:07 a.m.