Triple

T10478687
Position Surface form Disambiguated ID Type / Status
Subject CYCLADES computer network E247113 entity
Predicate developer P73 FINISHED
Object IRIA E247114 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: IRIA | Statement: [CYCLADES computer network, developer, IRIA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: IRIA
Context triple: [CYCLADES computer network, developer, IRIA]
  • A. IRIA chosen
    IRIA (Institut de Recherche en Informatique et en Automatique) was the original French national research institute for computer science and automation, later becoming INRIA, and played a key role in early networking and informatics research.
  • B. IRIAF
    IRIAF is the acronym for the Islamic Republic of Iran Air Force, the aerial warfare branch of Iran’s armed forces.
  • C. IRAA
    IRAA was a wartime Japanese political organization that functioned as a state-controlled mass movement supporting the militarist government during World War II.
  • D. IRI
    IRI (Industrial Research Institute) is a U.S.-based association of industrial and service companies focused on advancing innovation, research, and development management practices.
  • E. IRCA
    IRCA is a landmark 1986 U.S. federal law that combined employer sanctions for hiring unauthorized immigrants with a one-time legalization program for certain undocumented residents.
  • 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_69d381c16c248190a2fe5b471e584e9c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5095a25708190bf34e3ca1491e003 completed April 7, 2026, 1:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69d8a02aa2748190902f5c08afd7dda9 completed April 10, 2026, 7 a.m.
Created at: April 6, 2026, 12:21 p.m.