Triple

T34517613
Position Surface form Disambiguated ID Type / Status
Subject Théorie des intersections et théorème de Riemann–Roch E886195 entity
Predicate originalSeminarYears P76777 FINISHED
Object 1966–1967 LITERAL 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: 1966–1967 | Statement: [Théorie des intersections et théorème de Riemann–Roch, originalSeminarYears, 1966–1967]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: originalSeminarYears
Context triple: [Théorie des intersections et théorème de Riemann–Roch, originalSeminarYears, 1966–1967]
  • A. lectureYears chosen
    Indicates the years during which a lecture or course is (or was) delivered.
  • B. conferenceYear
    Indicates the specific calendar year in which a given conference takes place or is held.
  • C. yearLecturesDelivered
    Indicates the specific year in which the lectures were delivered.
  • D. originalYear
    Indicates the year in which something was first created, released, or initially came into existence.
  • E. academicThesisYear
    Indicates the calendar year in which an academic thesis was completed, published, or formally submitted.
  • F. None of above.

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_69f349ccc290819089d8e82698e53cb6 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_6a037c8ae0248190b7e2ce4bf852c22d completed May 12, 2026, 7:16 p.m.
PD Predicate disambiguation batch_6a0379fbe4a08190bfe65ebd141164e9 completed May 12, 2026, 7:05 p.m.
Created at: May 1, 2026, 2:01 a.m.