Triple

T1781565
Position Surface form Disambiguated ID Type / Status
Subject Carnegie of Pittarrow E39300 entity
Predicate hasTraditionalRole P29914 FINISHED
Object local leadership 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: local leadership | Statement: [Carnegie of Pittarrow, hasTraditionalRole, local leadership]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTraditionalRole
Context triple: [Carnegie of Pittarrow, hasTraditionalRole, local leadership]
  • A. hasHistoricalRoleAs chosen
    Indicates that an entity has served in a specific historical capacity, function, or position during a particular period or context.
  • B. hasTraditionalFormIn
    Indicates that something possesses a customary or historically established form or representation within a specified context, system, or location.
  • C. hasTraditionIn
    Indicates that a particular tradition, custom, or longstanding practice is present, observed, or established within a specified place, group, or context.
  • D. hasTraditionalSymbol
    Indicates that something is associated with or represented by a conventional or culturally established symbol.
  • E. hasCapitalRole
    Indicates that an entity holds an official role, function, or status specifically associated with a capital city.
  • 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_69a88630519c8190a17addd83c4a3ef4 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69ab74dc9d1481908084ef07872a71f8 completed March 7, 2026, 12:44 a.m.
PD Predicate disambiguation batch_69aa61cf3ca881908641fd73ce2f7c9d completed March 6, 2026, 5:10 a.m.
Created at: March 4, 2026, 7:31 p.m.