Triple

T8629113
Position Surface form Disambiguated ID Type / Status
Subject George William, Duke of Brunswick-Lüneburg E204354 entity
Predicate residence P75 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: [George William, Duke of Brunswick-Lüneburg, residence, Celle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Celle
Context triple: [George William, Duke of Brunswick-Lüneburg, residence, 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. Delle
    Delle is a small commune in northeastern France near the Swiss border, known as a local administrative and economic center in the Territoire de Belfort department.
  • 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_69ca834a4ea0819094970dceb9e389f3 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc473f6b888190ae40d65f24122c88 completed March 31, 2026, 10:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69cebc02b4008190a70ca8eb6f43926d completed April 2, 2026, 6:57 p.m.
Created at: March 30, 2026, 6:27 p.m.