Triple

T4604752
Position Surface form Disambiguated ID Type / Status
Subject Count of Dreux E100404 entity
Predicate region P40 FINISHED
Object Dreux E264073 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: Dreux | Statement: [Count of Dreux, region, Dreux]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dreux
Context triple: [Count of Dreux, region, Dreux]
  • A. Dreux chosen
    Dreux is a historic town in northern France known for its royal chapel and role as a regional center in the Eure-et-Loir department.
  • B. Étiolles
    Étiolles is a commune in the Essonne department of the Île-de-France region in northern France, known for its proximity to the Sénart forest and prehistoric archaeological sites.
  • C. Remigny
    Remigny is a small wine-producing village in the Burgundy region of eastern France, situated near the renowned appellation of Santenay.
  • D. Douaumont
    Douaumont is a small commune in northeastern France best known for its World War I battlefield sites near Verdun, including major memorials and military cemeteries.
  • E. Fougères
    Fougères is a historic town in Brittany, northwestern France, known for its impressive medieval castle and well-preserved old quarter.
  • 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_69bd43cce1e08190a07d53af6a9b6c24 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd5999f9c88190a43309573df61159 completed March 20, 2026, 2:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69be6f8abc3481909dbb42ddde2729ca completed March 21, 2026, 10:14 a.m.
Created at: March 20, 2026, 1:12 p.m.