Triple

T12898913
Position Surface form Disambiguated ID Type / Status
Subject Canonical Hours E308565 entity
Predicate includesHour P84777 FINISHED
Object Matins 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: Matins | Statement: [Canonical Hours, includesHour, Matins]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Matins
Context triple: [Canonical Hours, includesHour, Matins]
  • A. Matins chosen
    Matins is a traditional Christian liturgical service of morning prayer, especially prominent in monastic and Orthodox worship.
  • B. Lauds
    Lauds is a traditional morning prayer service in the Liturgy of the Hours in Christian liturgy, typically recited at dawn.
  • C. Vespers
    "Vespers" is a religious or devotional work by 19th-century American clergyman and hymn writer Samuel Longfellow, reflecting his liberal Christian theology and poetic style.
  • D. Vespers
    Vespers is an evening prayer service in the Byzantine Rite, marking the liturgical beginning of the day with psalms, hymns, and incense.
  • E. Morning and Evening
    Morning and Evening is a classic daily devotional by Charles Spurgeon, offering Scripture-based reflections for both the start and close of each day.
  • 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_69d7bdf7c1f0819098102569a8d8cbf5 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9717f3fc48190b61c8f6f36cd0725 completed April 10, 2026, 9:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6a56189b081909ed838addcb6d265 completed May 3, 2026, 1:31 a.m.
Created at: April 9, 2026, 5:40 p.m.