Triple

T19573726
Position Surface form Disambiguated ID Type / Status
Subject Château de Dampierre E489791 entity
Predicate locatedIn P40 FINISHED
Object Dampierre NE NERFINISHED

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: Dampierre | Statement: [Château de Dampierre, locatedIn, Dampierre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dampierre
Context triple: [Château de Dampierre, locatedIn, Dampierre]
  • A. Dampierre chosen
    Dampierre is a small French commune located in the Aube department in the Grand Est region of north-central France.
  • B. Rhodia
    Rhodia is a fictional alien planet in the Doctor Who universe, known primarily as the homeworld of the character Miss Quill from the spin-off series "Class."
  • C. Viterra
    Viterra is a global agriculture and grain-handling company that operates storage, processing, and export facilities across major farming regions.
  • D. Mondelange
    Mondelange is a commune in northeastern France’s Moselle department, known for its location in the Grand Est region near the Luxembourg border.
  • E. Barum
    Barum is a European tire manufacturer known for producing affordable, reliable tires, particularly popular in Central and Eastern Europe.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8dd9374819098e36349b3211663 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6402333dc8190bdffb1da68e2c76b completed April 20, 2026, 3:02 p.m.
Created at: April 10, 2026, 1:42 p.m.