Triple

T99057
Position Surface form Disambiguated ID Type / Status
Subject First Lord of the Treasury E1998 entity
Predicate hasHistoricalFunction P2715 FINISHED
Object head of the Treasury commission 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: head of the Treasury commission | Statement: [First Lord of the Treasury, hasHistoricalFunction, head of the Treasury commission]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasHistoricalFunction
Context triple: [First Lord of the Treasury, hasHistoricalFunction, head of the Treasury commission]
  • A. historicalFunction chosen
    Indicates the role, purpose, or activity an entity had during a past period or in a historical context.
  • B. hasHistoricalContext
    Indicates that something is related to, influenced by, or best understood in light of specific past events, conditions, or time periods.
  • C. hasHistoricalOrigin
    Indicates that something originated, was first established, or came into existence during a specific historical period or context.
  • D. hasHistoricalEvent
    Indicates that a historical event occurred in, is associated with, or is relevant to a particular entity.
  • E. hasLegacy
    Indicates that an entity leaves behind a lasting impact, influence, or inheritance that continues to exist or be recognized over time.
  • 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_69a24d4862f881908cc8b89d3a78031d completed Feb. 28, 2026, 2:04 a.m.
NER Named-entity recognition batch_69a253b95d4c81909d1f2bc37e799c44 completed Feb. 28, 2026, 2:32 a.m.
PD Predicate disambiguation batch_69a24ebfc5a88190bdd1653b9fa541fe completed Feb. 28, 2026, 2:11 a.m.
Created at: Feb. 28, 2026, 2:09 a.m.