Triple

T10815441
Position Surface form Disambiguated ID Type / Status
Subject Heunisch Weiss E255216 entity
Predicate parentOf P120 FINISHED
Object Romorantin E243825 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: Romorantin | Statement: [Heunisch Weiss, parentOf, Romorantin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Romorantin
Context triple: [Heunisch Weiss, parentOf, Romorantin]
  • A. Romorantin-Lanthenay chosen
    Romorantin-Lanthenay is a commune in central France known as a historic town in the Loir-et-Cher department and a gateway to the Sologne region.
  • B. Taradeau
    Taradeau is a small commune in the Var department of southeastern France, known for its Provençal countryside, vineyards, and proximity to the Massif des Maures.
  • C. Miromesnil
    Miromesnil is a Paris Métro station in the 8th arrondissement, serving as an interchange between lines 9 and 13 near the Élysée Palace.
  • D. Bertrée
    Bertrée is a village in the municipality of Hannut in the province of Liège, Belgium.
  • E. Roannais
    Roannais is a natural region in central France known for its rolling countryside, agricultural landscapes, and proximity to the upper Loire River.
  • 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_69d6aa8081448190a9324184f2bd1c26 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d733edab248190b2cf7f7bc2684468 completed April 9, 2026, 5:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69de8546b41081909e13152c4df2eb1c completed April 14, 2026, 6:19 p.m.
Created at: April 8, 2026, 9:18 p.m.