Triple

T31931906
Position Surface form Disambiguated ID Type / Status
Subject Montet (Glâne) E815274 entity
Predicate hasStatisticalRegion P105946 FINISHED
Object Fribourg statistical region NE NERFINISHED

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: Fribourg statistical region | Statement: [Montet (Glâne), hasStatisticalRegion, Fribourg statistical region]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasStatisticalRegion
Context triple: [Montet (Glâne), hasStatisticalRegion, Fribourg statistical region]
  • A. isStatisticalAreaDefinedBy
    Indicates that a statistical area is specified, delimited, or characterized according to a particular defining criterion, dataset, or authority.
  • B. statisticalAreaOf chosen
    Indicates that one entity is the designated statistical area or region associated with, containing, or characterizing another entity for statistical or demographic purposes.
  • C. specialStatuteRegion
    Indicates that a region is governed by or subject to a specific special statute or legal provision distinct from general law.
  • D. censusRegion
    Indicates the broader census-defined geographic region in which an entity (such as a place or population unit) is located or classified.
  • E. statisticalAreaClassification
    Indicates how an area is categorized based on statistical criteria, such as population, density, or other quantitative measures, for analysis or reporting purposes.
  • 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_69f348f3035c81908558e2339955abb3 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69fedec693b08190b0f8bfdb921e0766 completed May 9, 2026, 7:14 a.m.
PD Predicate disambiguation batch_69fede16c1d48190a20d8a9c5722c307 completed May 9, 2026, 7:11 a.m.
Created at: May 1, 2026, 12:04 a.m.