Triple

T13230679
Position Surface form Disambiguated ID Type / Status
Subject Murten E315007 entity
Predicate hasNeighboringMunicipality P224 FINISHED
Object Muntelier E1002507 NE 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: Muntelier | Statement: [Murten, hasNeighboringMunicipality, Muntelier]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Muntelier
Context triple: [Murten, hasNeighboringMunicipality, Muntelier]
  • A. Muntelier chosen
    Muntelier is a small municipality in the canton of Fribourg in western Switzerland, situated near Lake Murten.
  • B. Moreuil
    Moreuil is a small commune in northern France, located in the Somme department in the Hauts-de-France region.
  • C. Montcherand
    Montcherand is a small Swiss municipality in the canton of Vaud, situated in the Jura-Nord vaudois region.
  • D. Villeroux
    Villeroux is a small village in the municipality of Vaux-sur-Sûre in the Walloon region of Belgium.
  • E. Montegnée
    Montegnée is a district of the municipality of Saint-Nicolas in the province of Liège, Belgium.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d806affc688190a25b6ccc588e9c72 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98d336ae08190bfc118cfbefddf84 completed April 10, 2026, 11:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7546b9ae081909f97fc4a06b8f927 completed May 3, 2026, 1:58 p.m.
Created at: April 9, 2026, 9:21 p.m.