Triple

T19101378
Position Surface form Disambiguated ID Type / Status
Subject Aragatsotn Province E467537 entity
Predicate hasMonastery P1191 FINISHED
Object Hovhannavank Monastery NE NERFINISHED

How this triple was built (3 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: Hovhannavank Monastery | Statement: [Aragatsotn Province, hasMonastery, Hovhannavank Monastery]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hovhannavank Monastery
Context triple: [Aragatsotn Province, hasMonastery, Hovhannavank Monastery]
  • A. Haghartsin Monastery
    Haghartsin Monastery is a medieval Armenian monastic complex nestled in the forested mountains near Dilijan, known for its historic churches and picturesque setting.
  • B. Goshavank Monastery
    Goshavank Monastery is a medieval Armenian monastic complex renowned for its intricate stone carvings and khachkars, located in the forested mountains of Armenia’s Tavush region.
  • C. Tatev Monastery
    Tatev Monastery is a medieval Armenian monastic complex perched on a cliff in southern Armenia, renowned for its historical, architectural, and spiritual significance.
  • D. Sevanavank Monastery
    Sevanavank Monastery is a historic Armenian monastic complex situated on a peninsula in Lake Sevan, renowned for its medieval stone churches and scenic mountainous surroundings.
  • E. Nor Varagavank Monastery
    Nor Varagavank Monastery is a medieval Armenian monastic complex known for its historic architecture and scenic location in northeastern Armenia.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hovhannavank Monastery
Target entity description: Hovhannavank Monastery is a medieval Armenian monastic complex renowned for its distinctive architecture and cliffside location above the Kasagh River gorge.
  • A. Haghartsin Monastery
    Haghartsin Monastery is a medieval Armenian monastic complex nestled in the forested mountains near Dilijan, known for its historic churches and picturesque setting.
  • B. Goshavank Monastery
    Goshavank Monastery is a medieval Armenian monastic complex renowned for its intricate stone carvings and khachkars, located in the forested mountains of Armenia’s Tavush region.
  • C. Tatev Monastery
    Tatev Monastery is a medieval Armenian monastic complex perched on a cliff in southern Armenia, renowned for its historical, architectural, and spiritual significance.
  • D. Sevanavank Monastery
    Sevanavank Monastery is a historic Armenian monastic complex situated on a peninsula in Lake Sevan, renowned for its medieval stone churches and scenic mountainous surroundings.
  • E. Nor Varagavank Monastery
    Nor Varagavank Monastery is a medieval Armenian monastic complex known for its historic architecture and scenic location in northeastern Armenia.
  • F. None of above. chosen

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_69d8dd05ac4c8190b1967d8f97f3fb2f completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e36de7bc8190b353ed59e12e4631 completed April 20, 2026, 8:27 a.m.
Created at: April 10, 2026, 12:04 p.m.