Triple

T16102374
Position Surface form Disambiguated ID Type / Status
Subject United States pavilion at Expo 67 E390652 entity
Predicate currentName P1213 FINISHED
Object Biosphère E91003 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: Biosphère | Statement: [United States pavilion at Expo 67, currentName, Biosphère]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Biosphère
Context triple: [United States pavilion at Expo 67, currentName, Biosphère]
  • A. Biosphere (Montreal) chosen
    Biosphere (Montreal) is an environmental museum and iconic geodesic dome on Île Sainte-Hélène dedicated to ecological education and sustainable development.
  • B. Montreal Biodome
    The Montreal Biodome is an indoor nature museum in Montreal that recreates several distinct ecosystems of the Americas within the former Olympic velodrome.
  • C. Baie des Fourmis
    Baie des Fourmis is a small, picturesque Mediterranean beach on the French Riviera, located in the coastal town of Beaulieu-sur-Mer near Nice.
  • D. Biot
    Biot is a picturesque medieval village in southeastern France’s Alpes-Maritimes department, renowned for its glassblowing tradition and hilltop views near the French Riviera.
  • E. L’Ecrin
    L’Ecrin is the fine-dining gastronomic restaurant located within the luxury Hôtel de Crillon in Paris.
  • 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_69d87f1a8dd881909f1de6ef78849874 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e1ff6976ec8190b499e99b196b0285 completed April 17, 2026, 9:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffeba007c08190bf4d3cf092abc7dd completed May 10, 2026, 2:21 a.m.
Created at: April 10, 2026, 5 a.m.