Triple

T13670999
Position Surface form Disambiguated ID Type / Status
Subject Marian preface in the Roman Missal E327747 entity
Predicate usedDuring P4341 FINISHED
Object Mass E583321 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: Mass | Statement: [Marian preface in the Roman Missal, usedDuring, Mass]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mass
Context triple: [Marian preface in the Roman Missal, usedDuring, Mass]
  • A. Mass
    Mass is a neoclassical choral work by Igor Stravinsky for choir and wind instruments, noted for its austere, liturgical character and concise, ritualistic structure.
  • B. Mass chosen
    Mass is the central liturgical worship service in the Roman Catholic Church, commemorating the Last Supper through the celebration of the Eucharist.
  • C. Mass
    Mass is a large-scale theatrical work by Leonard Bernstein that blends elements of classical music, musical theater, and religious liturgy to explore themes of faith and doubt.
  • D. Massa
    Massa is a small coastal town in southern Morocco known for its proximity to the Souss-Massa National Park and its traditional Berber culture.
  • E. Massa
    Massa is a historic city in northwestern Tuscany, Italy, known for its marble industry and proximity to the Apuan Alps and the Tyrrhenian coast.
  • 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_69d8076f1fa8819094664a59b55010df completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc6599c248190b7f134b5b9947a23 completed April 12, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f78b1222648190a70f50e6e5c34593 completed May 3, 2026, 5:51 p.m.
Created at: April 9, 2026, 9:53 p.m.