Triple

T16941233
Position Surface form Disambiguated ID Type / Status
Subject Garda Síochána E410953 entity
Predicate seniorOfficerRank P125321 FINISHED
Object superintendent 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: superintendent | Statement: [Garda Síochána, seniorOfficerRank, superintendent]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: seniorOfficerRank
Context triple: [Garda Síochána, seniorOfficerRank, superintendent]
  • A. seniorRank
    Indicates that one entity holds a higher or more senior rank or position than another entity.
  • B. commissionedOfficerRank
    Indicates that one entity holds a rank that qualifies them as a commissioned officer in a formal organizational hierarchy.
  • C. hasGeneralOfficerRank
    Indicates that an entity holds a military rank at the general officer level.
  • D. civilServiceRank
    Indicates that one entity holds a specific rank or position within a civil service hierarchy relative to another entity or classification.
  • E. isMilitaryRank
    Indicates that one entity holds a specific position or level within a formal military hierarchy in relation to another.
  • 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_69d886c886688190967be07322597ac9 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3cfadec70819095ec0048ebc71016 completed April 18, 2026, 6:38 p.m.
PD Predicate disambiguation batch_69e32b9aa8748190b248890aca86753d completed April 18, 2026, 6:58 a.m.
PDg Predicate description generation batch_69e355722040819098830dabf207ecd6 completed April 18, 2026, 9:57 a.m.
Created at: April 10, 2026, 5:31 a.m.