Triple

T13589182
Position Surface form Disambiguated ID Type / Status
Subject French preparatory classes E324646 entity
Predicate commonAbbreviation P8075 FINISHED
Object CPGE E333092 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: CPGE | Statement: [French preparatory classes, commonAbbreviation, CPGE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CPGE
Context triple: [French preparatory classes, commonAbbreviation, CPGE]
  • A. CPGE chosen
    CPGE (Classes Préparatoires aux Grandes Écoles) are intensive two-year post-secondary programs in France that rigorously prepare students for competitive entrance exams to elite grandes écoles.
  • B. GCET
    GCET is an internationally recognized framework established by the UN World Tourism Organization that sets out principles to promote responsible, sustainable, and universally accessible tourism.
  • C. CPCE
    CPCE is the abbreviation for the Community of Protestant Churches in Europe, a fellowship of Protestant churches committed to mutual recognition and cooperation across the continent.
  • D. GECE
    GECE is the ICAO airport code assigned to Ceuta Heliport, a public heliport serving the Spanish autonomous city of Ceuta on the north coast of Africa.
  • E. CUET
    CUET is a leading public engineering university in Bangladesh located in Chittagong, specializing in engineering, technology, and architecture education and research.
  • 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_69d80769100c819099111274614f5ed2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb055cc98819091fab597b69e5e3e completed April 12, 2026, 2:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f76bc347b881908267455f3bdd50e8 completed May 3, 2026, 3:37 p.m.
Created at: April 9, 2026, 9:49 p.m.