Triple

T12744185
Position Surface form Disambiguated ID Type / Status
Subject Oger E304560 entity
Predicate locatedNear P294 FINISHED
Object Avize E304558 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: Avize | Statement: [Oger, locatedNear, Avize]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Avize
Context triple: [Oger, locatedNear, Avize]
  • A. Avize chosen
    Avize is a renowned Grand Cru village in France’s Champagne region, celebrated for its high-quality Chardonnay-based sparkling wines.
  • B. Orléat
    Orléat is a small commune in central France’s Puy-de-Dôme department, known for its rural character within the Auvergne region.
  • C. Saintois
    A Saintois is a resident or native of the coastal commune of Saintes-Maries-de-la-Mer in southern France.
  • D. Gouvieux
    Gouvieux is a commune in northern France known for hosting the French residence of Aga Khan IV, Shah Karim al-Husayni.
  • E. Boussy-Saint-Antoine
    Boussy-Saint-Antoine is a suburban commune in the Essonne department in the Île-de-France region of northern France.
  • 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_69d7bdf1426c8190a4402e1c4cdec33a completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96bd42fe08190a85467b1a998d2af completed April 10, 2026, 9:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69f684ee2ab4819099194d115d2e5a15 completed May 2, 2026, 11:12 p.m.
Created at: April 9, 2026, 5:26 p.m.