Triple

T18853696
Position Surface form Disambiguated ID Type / Status
Subject Montceaux-lès-Meaux E461114 entity
Predicate sharesBorderWith P224 FINISHED
Object Varreddes 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: Varreddes | Statement: [Montceaux-lès-Meaux, sharesBorderWith, Varreddes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Varreddes
Context triple: [Montceaux-lès-Meaux, sharesBorderWith, Varreddes]
  • A. Varreddes chosen
    Varreddes is a small French commune in the Seine-et-Marne department in the Île-de-France region in north-central France.
  • B. Vallentuna
    Vallentuna is a locality in Stockholm County, Sweden, known as a suburban community within the Stockholm metropolitan area.
  • C. Torvastad
    Torvastad is a coastal village in Karmøy municipality in Rogaland county, southwestern Norway.
  • D. Veniste
    Veniste is a component or subdivision associated with Ben-Veniste, likely representing a related name, branch, or derivative entity.
  • E. Tovere
    Tovere is a small locality or hamlet that forms part of the municipality of Moltrasio in northern Italy’s Lake Como area.
  • 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_69e5c05b4d8881909af0238f451b0e31 completed April 20, 2026, 5:57 a.m.
Created at: April 10, 2026, 11:56 a.m.