Triple

T38133509
Position Surface form Disambiguated ID Type / Status
Subject Oxford–Cambridge line E952285 entity
Predicate closurePattern P65693 FINISHED
Object sections closed in stages in the 1960s 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: sections closed in stages in the 1960s | Statement: [Oxford–Cambridge line, closurePattern, sections closed in stages in the 1960s]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: closurePattern
Context triple: [Oxford–Cambridge line, closurePattern, sections closed in stages in the 1960s]
  • A. closureType chosen
    Indicates the specific manner or condition in which something is closed, completed, or terminated within a process or relationship.
  • B. closureStyle
    Indicates how an item is fastened or secured closed, specifying the type or method of closure used.
  • C. closureBy
    Indicates that one entity causes, performs, or is responsible for the closing or termination of another entity, event, or process.
  • D. closure
    Indicates that an entity is closed or not accessible/available for use, entry, or interaction.
  • E. closureUse
    Indicates that one entity uses or captures another entity within a closure context (such as a variable or resource referenced by a closure).
  • 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_69f76f083548819082bd2bbf53c79e8e completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_69fcb089a8f881909aa9e722babd43f7 completed May 7, 2026, 3:32 p.m.
PD Predicate disambiguation batch_69fc45666c5c8190913bd632ac0e5b84 completed May 7, 2026, 7:55 a.m.
Created at: May 3, 2026, 4:21 p.m.