Triple

T16105168
Position Surface form Disambiguated ID Type / Status
Subject Institut Curie E390720 entity
Predicate hasSite P1205 FINISHED
Object Orsay E258284 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: Orsay | Statement: [Institut Curie, hasSite, Orsay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Orsay
Context triple: [Institut Curie, hasSite, Orsay]
  • A. Orsay chosen
    Orsay is a commune in the southern suburbs of Paris, France, known for hosting part of the Paris-Saclay University and several major scientific research institutions.
  • B. Orsay
    Orsay is a small uninhabited island off the southwest coast of Islay in Scotland, known for its historic lighthouse and rugged coastal scenery.
  • C. Saclay
    Saclay is a French commune in the Île-de-France region, known for hosting part of the Paris-Saclay research and university cluster.
  • D. Place Jussieu
    Place Jussieu is a public square in central Paris best known for hosting the Jussieu campus of Sorbonne University and several major scientific institutions.
  • E. d'Orsay
    d'Orsay is a French noble family name historically associated with aristocratic figures such as the 19th-century dandy and socialite Louis-Philippe, comte d'Orsay.
  • 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_69e1ff6b91a48190a04648d4cad2c4b1 completed April 17, 2026, 9:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffeba1e4c08190a90f5102e0038056 completed May 10, 2026, 2:21 a.m.
Created at: April 10, 2026, 5 a.m.