Triple

T10290653
Position Surface form Disambiguated ID Type / Status
Subject Moulis-en-Médoc E241352 entity
Predicate locatedBetween P1262 FINISHED
Object Margaux E243827 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: Margaux | Statement: [Moulis-en-Médoc, locatedBetween, Margaux]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Margaux
Context triple: [Moulis-en-Médoc, locatedBetween, Margaux]
  • A. Margaux chosen
    Margaux is a prestigious Bordeaux wine appellation in the Médoc region of France, renowned for its elegant, aromatic red wines and several classified growth châteaux.
  • B. Margaux Guerard
    Margaux Guerard is the daughter of American actress Lorraine Bracco and is known primarily for her connection to her mother's film and television career.
  • C. Mélanie
    Mélanie is a feminine given name of French origin commonly used in French-speaking countries.
  • D. Estelle
    Estelle is a British singer, rapper, and songwriter best known for her hit single "American Boy" featuring Kanye West.
  • E. Mariette Lydis
    Mariette Lydis was an Austrian-Argentine painter and illustrator known for her expressive, often melancholic depictions of women and marginalized figures in early 20th-century art.
  • 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_69d381aaafc08190af475ef58dc16aba completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d2d281348190bac00cf826689cd7 completed April 7, 2026, 9:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f85dcbac8190a2ac66354010e328 completed April 9, 2026, 12:52 a.m.
Created at: April 6, 2026, 11:41 a.m.