Triple

T18841623
Position Surface form Disambiguated ID Type / Status
Subject Lajoux E460810 entity
Predicate neighboringMunicipality P17964 FINISHED
Object Montfaucon 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: Montfaucon | Statement: [Lajoux, neighboringMunicipality, Montfaucon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Montfaucon
Context triple: [Lajoux, neighboringMunicipality, Montfaucon]
  • A. Montfaucon chosen
    Montfaucon is a small municipality in the Jura canton of Switzerland, situated on the Franches-Montagnes plateau.
  • B. Mont-Louis
    Mont-Louis is a fortified town in the French Pyrenees renowned for its well-preserved 17th-century military architecture designed by the engineer Vauban.
  • C. Grand Belfort
    Grand Belfort is an intercommunal administrative structure in northeastern France that groups together Belfort and surrounding communes to coordinate local governance and services.
  • D. Moncontour
    Moncontour is a historic hilltop town in Brittany, northwestern France, renowned for its well-preserved medieval architecture and fortified walls.
  • E. Montbéliarde
    Montbéliarde is a French dairy cattle breed from the Franche-Comté region, valued for its high-quality milk used in traditional cheeses.
  • 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.