Triple

T2889124
Position Surface form Disambiguated ID Type / Status
Subject Daily Office E59577 entity
Predicate includesOffice P1268 FINISHED
Object Lauds E142795 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: Lauds | Statement: [Daily Office, includesOffice, Lauds]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lauds
Context triple: [Daily Office, includesOffice, Lauds]
  • A. Matins chosen
    Matins is a traditional Christian liturgical service of morning prayer, especially prominent in monastic and Orthodox worship.
  • B. Sanctus
    Sanctus is a central Christian liturgical hymn of praise, traditionally sung during the Eucharistic prayer in many church rites.
  • C. Vespers
    Vespers is an evening prayer service in the Byzantine Rite, marking the liturgical beginning of the day with psalms, hymns, and incense.
  • D. Te Deum
    Te Deum is a traditional Christian hymn of praise and thanksgiving, historically used in liturgical celebrations and special religious or civic ceremonies.
  • E. Regina Caeli
    Regina Caeli is a traditional Catholic Marian antiphon joyfully honoring Mary in her role associated with Christ’s Resurrection and celebrated especially during the Easter season.
  • 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_69ab4ac739188190a112f42a5a69c951 completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abe04918908190aad08defd1b26d97 completed March 7, 2026, 8:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69b055f88608819087f258286b2e9e66 completed March 10, 2026, 5:33 p.m.
Created at: March 6, 2026, 10:04 p.m.