Triple

T236346
Position Surface form Disambiguated ID Type / Status
Subject Sophia Dorothea of Celle E4832 entity
Predicate birthPlace P1 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: [Sophia Dorothea of Celle, birthPlace, Celle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Celle
Context triple: [Sophia Dorothea of Celle, birthPlace, 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. Rednitz
    The Rednitz is a river in Bavaria, Germany, that flows through cities such as Fürth and joins with the Pegnitz to form the Regnitz.
  • C. Mouton
    Mouton is an academic publishing house known for its influential works in linguistics and related fields.
  • D. Escharen
    Escharen is a village in the Dutch province of North Brabant that was formerly an independent municipality before being incorporated into a larger administrative unit.
  • E. Cáqueza
    Cáqueza is a small municipality and town in the Andean region of central Colombia, known for its rural landscapes and proximity to Bogotá in the department of Cundinamarca.
  • 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_69a257c3d0708190b0871c4269d273e6 completed Feb. 28, 2026, 2:49 a.m.
NER Named-entity recognition batch_69a25ccab7648190be6e4f5febc1e313 completed Feb. 28, 2026, 3:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69a379552ca081908b2c6043714f7042 completed Feb. 28, 2026, 11:25 p.m.
Created at: Feb. 28, 2026, 2:53 a.m.