Triple

T38695125
Position Surface form Disambiguated ID Type / Status
Subject Pathan E949975 entity
Predicate commonInHistoricalSources P45898 FINISHED
Object yes 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: yes | Statement: [Pathan, commonInHistoricalSources, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: commonInHistoricalSources
Context triple: [Pathan, commonInHistoricalSources, yes]
  • A. namedInHistoricalSources
    Indicates that an entity is explicitly mentioned or identified in historical documents or records.
  • B. historicalEvidence chosen
    Indicates that there exists documented or otherwise verifiable information supporting the occurrence, authenticity, or truth of a past event, state, or relationship between entities.
  • C. historicalReference
    Indicates that one entity refers to, cites, or alludes to another entity from an earlier time or historical context.
  • D. historicalExistence
    Indicates that an entity actually existed at some point in real-world history, as opposed to being fictional, hypothetical, or mythological.
  • E. historicalMaterial
    Indicates that something serves as a source or document providing information or evidence about past events or conditions.
  • 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_69f76f0124408190bb39c3040734846b completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_69ff7eb7189c81909a8f73fbc4c48e02 completed May 9, 2026, 6:36 p.m.
PD Predicate disambiguation batch_69ff7e54e11081908fb5ce10c5aa7b53 completed May 9, 2026, 6:35 p.m.
Created at: May 3, 2026, 4:33 p.m.