Triple

T18841417
Position Surface form Disambiguated ID Type / Status
Subject Le Noirmont E460804 entity
Predicate hasNeighboringMunicipality P224 FINISHED
Object Tramelan 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: Tramelan | Statement: [Le Noirmont, hasNeighboringMunicipality, Tramelan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tramelan
Context triple: [Le Noirmont, hasNeighboringMunicipality, Tramelan]
  • A. Tramelan chosen
    Tramelan is a municipality in the French-speaking Bernese Jura region of Switzerland, known for its watchmaking industry and scenic Jura landscapes.
  • B. Tramazul
    Tramazul is a conceptual artwork by Brazilian artist Regina Silveira, known for its striking use of blue tape to create large-scale, illusionistic spatial distortions.
  • C. Calvatone
    Calvatone is a small municipality in the Lombardy region of northern Italy, known for its rural landscape and proximity to the Oglio River.
  • D. Galanta
    Galanta is a town in southern Slovakia known as a regional center with historical ties to the Esterházy noble family.
  • E. Carugo
    Carugo is a small municipality in the Province of Como in Lombardy, northern Italy.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dcfa11e4819090ab1ef5bdcd2b2e completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5b8ea35c88190af6659551ad18130 completed April 20, 2026, 5:26 a.m.
Created at: April 10, 2026, 11:56 a.m.