Triple

T18216584
Position Surface form Disambiguated ID Type / Status
Subject Gare de Melun E436176 entity
Predicate connectsTo P845 FINISHED
Object Laroche-Migennes 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: Laroche-Migennes | Statement: [Gare de Melun, connectsTo, Laroche-Migennes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Laroche-Migennes
Context triple: [Gare de Melun, connectsTo, Laroche-Migennes]
  • A. Migennes chosen
    Migennes is a commune in north-central France known as a railway junction and river port in the Yonne department of the Bourgogne-Franche-Comté region.
  • B. Montferrand
    Montferrand is a historic French town, now part of Clermont-Ferrand, known for its medieval heritage and former status as a separate commune in the Auvergne region.
  • C. Brière
    Brière is a French-language surname most prominently associated with former NHL player and current hockey executive Daniel Brière.
  • D. Morsang-sur-Seine
    Morsang-sur-Seine is a small commune in the Essonne department in northern France, situated along the Seine River and within the southern suburbs of Paris.
  • E. Bourgueil
    Bourgueil is a Loire Valley wine appellation in France renowned for its red wines, particularly those made predominantly from Cabernet Franc.
  • 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_69d8b9103a8081908bbb0836fef10efd completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4e47765a081908d0bbca1245f89ba completed April 19, 2026, 2:19 p.m.
Created at: April 10, 2026, 10:32 a.m.