Triple

T30741544
Position Surface form Disambiguated ID Type / Status
Subject Muineachán E782701 entity
Predicate denotesSettlementType P1068 FINISHED
Object town 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: town | Statement: [Muineachán, denotesSettlementType, town]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: denotesSettlementType
Context triple: [Muineachán, denotesSettlementType, town]
  • A. settlementType chosen
    Indicates the specific kind or category of human settlement an entity represents, such as a city, village, town, or hamlet.
  • B. typeOfSettlement
    Indicates the specific category or classification of a settlement (e.g., city, town, village) that characterizes what kind of settlement it is.
  • C. governsSettlementType
    Indicates that an authority or administrative body exercises governing control over a particular type or category of settlement.
  • D. typeOfSettlementRemains
    Indicates that one entity specifies the kind or category of settlement remains represented by another entity.
  • E. connectsSettlementType
    Indicates that there is a relationship linking a settlement to its specific type or classification (e.g., village, town, 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_69f224aeb1588190897d395e8ed2acb8 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f69dfdda708190be290c7bec205445 completed May 3, 2026, 12:59 a.m.
PD Predicate disambiguation batch_69f69d1a37e081908d1d86b90ff502bd completed May 3, 2026, 12:55 a.m.
Created at: April 29, 2026, 8:38 p.m.