Triple

T11538454
Position Surface form Disambiguated ID Type / Status
Subject Great Calcutta Killings E273607 entity
Predicate SuhrawardyRole P99583 FINISHED
Object Premier of Bengal during the riots 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: Premier of Bengal during the riots | Statement: [Great Calcutta Killings, SuhrawardyRole, Premier of Bengal during the riots]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: SuhrawardyRole
Context triple: [Great Calcutta Killings, SuhrawardyRole, Premier of Bengal during the riots]
  • A. hasChiefMinister
    Indicates that an administrative region, government, or political entity is associated with the person who serves as its chief minister.
  • B. successorAsGovernorOfDamascus
    Indicates that one person became the next governor of Damascus after another person.
  • C. wasDirectorGeneralOf
    Indicates that a person held the position of Director General of a specified organization or institution.
  • D. primeMinisterRole
    Indicates that an entity holds or fulfills the role, office, or position of prime minister in relation to a state or governing body.
  • E. resultedInDeputyPrimeMinister
    Indicates that one entity’s action, decision, or event caused or led to another entity becoming Deputy Prime Minister.
  • F. None of above. chosen

Provenance (4 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_69d6aae3fbec8190a14632a5df2538b6 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8839cdf688190ae75c0e6fece8e33 completed April 10, 2026, 4:59 a.m.
PD Predicate disambiguation batch_69d80879fdb48190be6dacc8aa63c809 completed April 9, 2026, 8:13 p.m.
PDg Predicate description generation batch_69d8279925e4819089210611c0d8e61a completed April 9, 2026, 10:26 p.m.
Created at: April 8, 2026, 9:37 p.m.