Triple

T1222321
Position Surface form Disambiguated ID Type / Status
Subject Horologion E26249 entity
Predicate includesService P1393 FINISHED
Object Typika E131663 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: Typika | Statement: [Horologion, includesService, Typika]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Typika
Context triple: [Horologion, includesService, Typika]
  • A. Cecilia
    Cecilia is a feminine given name of Latin origin, traditionally associated with Saint Cecilia, the patron saint of music.
  • B. Heraia
    Heraia was an ancient Greek women’s athletic festival and footrace held at Olympia in honor of the goddess Hera.
  • C. Orfeo
    Orfeo is a classical music record label known for its high-quality recordings of orchestral, operatic, and chamber music.
  • D. Aposticha chosen
    Aposticha are a series of hymns with psalm verses chanted near the end of Orthodox Christian Vespers and other services, often highlighting the theme of the feast or liturgical day.
  • E. Melide
    Melide is a Swiss municipality in the canton of Ticino, known for its scenic location on Lake Lugano and the Swissminiatur open-air miniature park.
  • 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_69a49484688c8190a1bf285eb396a8b6 completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4be21a2bc819094b47580d7c5cdf8 completed March 1, 2026, 10:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac832508c881908ea01e0b7c7e53eb completed March 7, 2026, 7:57 p.m.
Created at: March 1, 2026, 7:47 p.m.