Triple

T10221006
Position Surface form Disambiguated ID Type / Status
Subject Beerta E242577 entity
Predicate hasMunicipalSeatHistory P23608 FINISHED
Object former seat of the municipality of Beerta 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: former seat of the municipality of Beerta | Statement: [Beerta, hasMunicipalSeatHistory, former seat of the municipality of Beerta]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMunicipalSeatHistory
Context triple: [Beerta, hasMunicipalSeatHistory, former seat of the municipality of Beerta]
  • A. hasHistoricCountySeat
    Indicates that an administrative region historically had its county government or main county offices located in a particular settlement or city.
  • B. hasHistoricCity
    Indicates that an entity possesses, contains, or is associated with a city recognized for its historical significance.
  • C. usedToBeSeatOf chosen
    Indicates that an entity previously served as the official seat or administrative center of another entity, but no longer holds that status.
  • D. hasLocalGovernmentHistory
    Indicates that an entity has a documented history or record of its local governmental structure, activities, or developments.
  • E. countySeatSince
    Indicates that one place has served as the official county seat of a county starting from a specified point in 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_69d381ae26c48190985abd0e25ee5d04 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d3aa72b258819097d8d50a714e19dc completed April 6, 2026, 12:43 p.m.
PD Predicate disambiguation batch_69d3955f61f88190b8d37ff645cd44d3 completed April 6, 2026, 11:13 a.m.
Created at: April 6, 2026, 11:09 a.m.