Triple

T9727795
Position Surface form Disambiguated ID Type / Status
Subject Château de Haut-Bailly E235659 entity
Predicate locatedIn P40 FINISHED
Object Graves E44143 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: Graves | Statement: [Château de Haut-Bailly, locatedIn, Graves]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Graves
Context triple: [Château de Haut-Bailly, locatedIn, Graves]
  • A. Graves
    Graves is a surname most notably associated with Michael Graves, the influential American architect and designer linked to the postmodern movement.
  • B. Graves chosen
    Graves is a renowned wine-producing subregion on the left bank of Bordeaux, France, famous for its gravelly soils and high-quality red and white wines.
  • C. Graves
    Graves is a musician best known for his work with the horror punk band Misfits, particularly as their lead vocalist during the late 1990s.
  • D. Hashimoto
    Hashimoto is a city in Wakayama Prefecture, Japan, known as a regional hub between Osaka and the Kii Mountain range.
  • E. Graves AOC
    Graves AOC is a renowned Bordeaux wine appellation in southwestern France known for its high-quality red and white wines produced on gravelly soils.
  • 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_69ca84d0fad481909cdd45aa77416c48 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9e7af544819090a8a1adec41943c completed April 1, 2026, 10:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1bcc8d2288190b2a1dc3fe1185030 completed April 5, 2026, 1:37 a.m.
Created at: March 30, 2026, 8:21 p.m.