Triple

T38278322
Position Surface form Disambiguated ID Type / Status
Subject Yunes E1022018 entity
Predicate fictionalTimePeriodContext P186300 FINISHED
Object 20th century Arab-Israeli conflict 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: 20th century Arab-Israeli conflict | Statement: [Yunes, fictionalTimePeriodContext, 20th century Arab-Israeli conflict]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: fictionalTimePeriodContext
Context triple: [Yunes, fictionalTimePeriodContext, 20th century Arab-Israeli conflict]
  • A. fictionalTime
    Indicates that the associated time or temporal reference exists only within a fictional or imagined context, rather than in real-world chronology.
  • B. fictionalEra
    Indicates the time period or age within a fictional or imaginary setting in which an entity exists or an event occurs.
  • C. fictionalTimeDepth
    Indicates a relationship where an entity is associated with a time period or temporal depth that exists only within a fictional or imagined context.
  • D. existsInFictionalTimePeriod chosen
    Indicates that an entity is situated within, or associated with, a time period that is fictional rather than part of real-world history.
  • E. portraysFictionalPeriod
    Indicates that something (such as a work or representation) depicts or is set in a time period that is fictional rather than historical or contemporary reality.
  • 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_69f76df0cddc81908d16c1556ff4097f completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69ff79e7206c8190a809b5f2a6261378 completed May 9, 2026, 6:16 p.m.
PD Predicate disambiguation batch_69ff798356b881908645074fb3a96517 completed May 9, 2026, 6:14 p.m.
Created at: May 3, 2026, 4:30 p.m.