Triple

T10773039
Position Surface form Disambiguated ID Type / Status
Subject Séminaire de Géométrie Algébrique du Bois Marie E254128 entity
Predicate hasPart P35 FINISHED
Object SGA 1 E254121 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: SGA 1 | Statement: [Séminaire de Géométrie Algébrique du Bois Marie, hasPart, SGA 1]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SGA 1
Context triple: [Séminaire de Géométrie Algébrique du Bois Marie, hasPart, SGA 1]
  • A. SGA chosen
    SGA is a monumental multi-volume seminar series on algebraic geometry, led by Alexander Grothendieck, that profoundly reshaped the foundations and methods of the field.
  • B. SGA
    SGA is the acronym commonly used to refer to the Secretariat-General for Administration, a central administrative body within a governmental or institutional structure.
  • C. SGC
    SGC is the station code for St George's Cross, a Glasgow Subway station in Scotland.
  • D. SGN
    SGN is the IATA airport code for Tan Son Nhat International Airport, the main international gateway serving Ho Chi Minh City, Vietnam.
  • E. SGL
    SGL is the station code for Singleton railway station, a train stop serving the locality of Singleton.
  • 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_69d6aa5f54f4819082d0bbcb6f8797e6 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d7329b27748190bd0e2569c7972fd1 completed April 9, 2026, 5:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69de238559b48190abc759e744ab0f8e completed April 14, 2026, 11:22 a.m.
Created at: April 8, 2026, 9:16 p.m.