Triple

T26076550
Position Surface form Disambiguated ID Type / Status
Subject Ship of Theseus E657700 entity
Predicate hasQuestion P4939 FINISHED
Object Whether an object remains the same when all its parts are replaced 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: Whether an object remains the same when all its parts are replaced | Statement: [Ship of Theseus, hasQuestion, Whether an object remains the same when all its parts are replaced]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasQuestion
Context triple: [Ship of Theseus, hasQuestion, Whether an object remains the same when all its parts are replaced]
  • A. hasKeyQuestion chosen
    Indicates that one entity possesses or is associated with a primary or central question relevant to another entity.
  • B. hasOpenQuestions
    Indicates that there are unresolved or unanswered issues, problems, or inquiries associated with the referenced entity or context.
  • C. questionPresented
    Indicates that a question has been posed or displayed to an entity for consideration or response.
  • D. questionAsksWhether
    Indicates that one entity poses a question to determine if a particular condition, fact, or proposition is true or not.
  • E. canAnswerQuestions
    Indicates that an entity has the ability or capacity to respond correctly or appropriately to questions.
  • 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_69ee5bbe539081909efc7f9dd7c1b53c completed April 26, 2026, 6:38 p.m.
NER Named-entity recognition batch_69f606cf938c8190aa96a095c824367e completed May 2, 2026, 2:14 p.m.
PD Predicate disambiguation batch_69f5aff889988190ad10bcf1a280f717 completed May 2, 2026, 8:04 a.m.
Created at: April 26, 2026, 7:34 p.m.