Triple

T12463138
Position Surface form Disambiguated ID Type / Status
Subject Verzy E297849 entity
Predicate hasNearby P350 FINISHED
Object Montagne de Reims forest E61415 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: Montagne de Reims forest | Statement: [Verzy, hasNearby, Montagne de Reims forest]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Montagne de Reims forest
Context triple: [Verzy, hasNearby, Montagne de Reims forest]
  • A. Montmorency forest
    Montmorency forest is a large woodland area north of Paris, France, known for its extensive hiking trails, natural landscapes, and historical sites.
  • B. Faux de Verzy forest
    Faux de Verzy forest is a unique woodland in France renowned for its rare, twisted dwarf beech trees known as "faux de Verzy."
  • C. Montagne de Reims chosen
    Montagne de Reims is a renowned chalky plateau in France’s Champagne region, famous for its Pinot Noir–dominant vineyards that produce powerful, structured Champagne wines.
  • D. Forêt d'Arc-en-Barrois
    Forêt d'Arc-en-Barrois is a large deciduous forest in northeastern France known for its rich biodiversity and traditional hunting grounds.
  • E. Chantilly Forest
    Chantilly Forest is a historic woodland area in northern France known for its extensive beech and oak forests, hunting traditions, and proximity to the Château de Chantilly.
  • 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_69d6ada270808190b1a2b2e7b02bb426 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94db5efe88190a76949e4ddc3314c completed April 10, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64ba170908190b7b52ba3e725ea5e completed May 2, 2026, 7:08 p.m.
Created at: April 8, 2026, 9:56 p.m.