Triple

T7290484
Position Surface form Disambiguated ID Type / Status
Subject Celle ducal palace E164378 entity
Predicate locatedIn P40 FINISHED
Object Celle E30373 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: Celle | Statement: [Celle ducal palace, locatedIn, Celle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Celle
Context triple: [Celle ducal palace, locatedIn, Celle]
  • A. Celle chosen
    Celle is a historic town in northern Germany renowned for its well-preserved half-timbered old town and ducal palace.
  • B. Cellese
    Cellese is a regional dialect of the Franco-Provençal language traditionally spoken in a specific area of the Franco-Provençal linguistic region.
  • C. Schierke
    Schierke is a small village in the Harz Mountains of Germany, known as a gateway to the Brocken peak and for its historic narrow-gauge railway connections and winter sports tourism.
  • D. Celles
    Celles is a small French village in the Hérault department of southern France, known for its picturesque location on the shores of the artificial Lac du Salagou.
  • E. Gardein
    Gardein is a plant-based food brand known for its wide range of meatless products such as chicken, beef, and fish alternatives made from soy, wheat, and pea proteins.
  • 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_69c6887a499881909dd23341399c59d8 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6eb6d4e308190af6b8c237988d7d8 completed March 27, 2026, 8:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69c810c167848190a70f4e43c19f5809 completed March 28, 2026, 5:32 p.m.
Created at: March 27, 2026, 3 p.m.