Triple

T3141713
Position Surface form Disambiguated ID Type / Status
Subject Groupe Dubreuil E65662 entity
Predicate owns P347 FINISHED
Object French Bee E10909 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: French Bee | Statement: [Groupe Dubreuil, owns, French Bee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: French Bee
Context triple: [Groupe Dubreuil, owns, French Bee]
  • A. French Bee chosen
    French Bee is a French low-cost, long-haul airline specializing in transatlantic and Indian Ocean routes.
  • B. Barberini bees
    The Barberini bees are a heraldic emblem of the powerful Italian Barberini family, prominently associated with Pope Urban VIII and widely used in Baroque art and architecture in Rome.
  • C. The Bee
    The Bee is the 16th chapter of the Qur'an, known for its emphasis on God's blessings, signs in nature, and guidance for righteous living.
  • D. Angoumois
    Angoumois is a historic province in western France centered around the town of Angoulême, known for its role in the old French provincial system.
  • E. Les Ruches
    Les Ruches was a progressive girls’ boarding school in France known for its rigorous academics and emphasis on independent thinking, founded by educator Marie Souvestre.
  • 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_69ad8582f564819088c27e1f96153938 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada57895dc8190bd3d4ef9391973dc completed March 8, 2026, 4:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69b276edde308190b26ac47ae1a79ce1 completed March 12, 2026, 8:18 a.m.
Created at: March 8, 2026, 3:05 p.m.