Triple

T2307963
Position Surface form Disambiguated ID Type / Status
Subject Rocherath E51884 entity
Predicate locatedIn P40 FINISHED
Object Ardennes E9605 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: Ardennes | Statement: [Rocherath, locatedIn, Ardennes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ardennes
Context triple: [Rocherath, locatedIn, Ardennes]
  • A. Ardennes Forest chosen
    The Ardennes Forest is a densely wooded, hilly region in Belgium, Luxembourg, and France that became historically significant as a key invasion route used by German forces in both World Wars.
  • B. Ardennes-Eifel region
    The Ardennes-Eifel region is a hilly, forested area spanning parts of eastern Belgium, Luxembourg, and western Germany, known for its natural landscapes, outdoor recreation, and historical World War II sites.
  • C. Nivernais
    Nivernais is a historic province in central France, centered around the town of Nevers and known for its rural landscapes and traditional agriculture.
  • D. Côte des Bar
    Côte des Bar is a southern Champagne-producing area in France known for its rolling hills, Kimmeridgian soils, and Pinot Noir–dominant sparkling wines.
  • E. Sauerland
    Sauerland is a hilly, forested region in western Germany known for its reservoirs, outdoor recreation, and winter sports areas.
  • 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_69a88b0bb30c81908ded03b006d29387 completed March 4, 2026, 7:42 p.m.
NER Named-entity recognition batch_69abc605cf808190a326e6c78e3f9166 completed March 7, 2026, 6:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae960dfb708190868126460d27b144 completed March 9, 2026, 9:42 a.m.
Created at: March 4, 2026, 7:49 p.m.