Triple

T20801920
Position Surface form Disambiguated ID Type / Status
Subject Berliner Messe E512060 entity
Predicate hasPart P35 FINISHED
Object Sanctus NE NERFINISHED

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: Sanctus | Statement: [Berliner Messe, hasPart, Sanctus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sanctus
Context triple: [Berliner Messe, hasPart, Sanctus]
  • A. Sanctus chosen
    Sanctus is a central Christian liturgical hymn of praise, traditionally sung during the Eucharistic prayer in many church rites.
  • B. Sanctus Salvator
    Sanctus Salvator is the Latin form of "Saint-Sauveur," a Christian title referring to Jesus Christ as the Holy Savior.
  • C. Ver Sacrum
    Ver Sacrum was the official avant-garde art and literary magazine of the Vienna Secession, showcasing the movement’s innovative graphic design and modernist aesthetics.
  • D. Benedicite
    Benedicite is a traditional Christian canticle of praise, derived from the Song of the Three Holy Youths and used in various liturgical services.
  • E. Te Deum
    Te Deum is a traditional Christian hymn of praise and thanksgiving, historically used in liturgical celebrations and special religious or civic ceremonies.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4cc69f481908e98751e697b9df4 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c2b207c48190a9ca5895bdf85245 completed April 21, 2026, 12:20 a.m.
Created at: April 16, 2026, 12:39 p.m.