Triple

T22714060
Position Surface form Disambiguated ID Type / Status
Subject Leisi E561678 entity
Predicate hasFormerAdministrativeRole P29914 FINISHED
Object administrative centre of former Leisi Parish 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: administrative centre of former Leisi Parish | Statement: [Leisi, hasFormerAdministrativeRole, administrative centre of former Leisi Parish]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasFormerAdministrativeRole
Context triple: [Leisi, hasFormerAdministrativeRole, administrative centre of former Leisi Parish]
  • A. hasHistoricalRoleAs chosen
    Indicates that an entity has served in a specific historical capacity, function, or position during a particular period or context.
  • B. hasPoliticalRole
    Indicates that an entity holds, has held, or is assigned a specific political office, function, or position in relation to another entity or context.
  • C. hadMinisterialPost
    Indicates that an entity has held or occupied a ministerial government position or office.
  • D. hasNotableFormerMemberRole
    Indicates that an entity has a role or position that was notably held by a former member of that entity.
  • E. mayHavePriorRole
    Indicates that an entity is allowed or expected to have held a specified role at some earlier 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_69e2454f1348819088d83f420925a5c1 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1790bdac88190976c83c9039c9d16 completed April 29, 2026, 3:20 a.m.
PD Predicate disambiguation batch_69ee62bd657c81909f7b01245b080a5f completed April 26, 2026, 7:08 p.m.
Created at: April 17, 2026, 3:18 p.m.