Triple

T31993843
Position Surface form Disambiguated ID Type / Status
Subject Persian tobacco concession E816939 entity
Predicate religiousOppositionLedBy P152084 FINISHED
Object Mirza Hassan Shirazi NE NERFINISHED

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: Mirza Hassan Shirazi | Statement: [Persian tobacco concession, religiousOppositionLedBy, Mirza Hassan Shirazi]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: religiousOppositionLedBy
Context triple: [Persian tobacco concession, religiousOppositionLedBy, Mirza Hassan Shirazi]
  • A. opposedReligiousGroup
    Indicates that one group is in opposition or conflict with another specifically on religious grounds or beliefs.
  • B. opposedReligiousPolicyOf
    Indicates that one entity actively disagreed with and resisted the religious policy or policies established or supported by another entity.
  • C. religiousMovementLed chosen
    Indicates that one entity serves as the leader or guiding figure of a particular religious movement.
  • D. religiousStruggle
    Indicates a conflict, tension, or hardship someone experiences related to their religious beliefs, practices, or identity.
  • E. doctrinalOppositionFrom
    Indicates a relationship where one party holds or expresses doctrinal disagreement or opposition toward another party or their teachings.
  • 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_69f348f8002081909a3588758ba94afb completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69feba0f09508190b3e871c62b19ec7f completed May 9, 2026, 4:37 a.m.
PD Predicate disambiguation batch_69feb957fe7c8190969fb31a6d1a59c8 completed May 9, 2026, 4:34 a.m.
Created at: May 1, 2026, 12:13 a.m.