Triple

T2918141
Position Surface form Disambiguated ID Type / Status
Subject Theophanes the Cretan E78654 entity
Predicate workLocation P7 FINISHED
Object Meteora E2401 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: Meteora | Statement: [Theophanes the Cretan, workLocation, Meteora]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Meteora
Context triple: [Theophanes the Cretan, workLocation, Meteora]
  • A. Meteora chosen
    Meteora is a spectacular rock formation in central Greece famous for its centuries-old monasteries perched atop towering sandstone pillars and recognized as a UNESCO World Heritage Site.
  • B. Talagante
    Talagante is a commune and town in central Chile, located southwest of Santiago within the Santiago Metropolitan Region.
  • C. Ateni Gorge
    Ateni Gorge is a scenic river valley in eastern Georgia known for its dramatic cliffs, historic sites, and medieval rock-hewn churches.
  • D. Karyes
    Karyes is the principal administrative and spiritual center of the monastic community on Mount Athos in Greece.
  • E. Parnitha National Park
    Parnitha National Park is a protected mountainous area near Athens, Greece, known for its dense forests, rich biodiversity, and extensive hiking trails.
  • 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_69ad8b0c2ad081909ff87050ae542bb9 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad96a41b4c81909d8ace8ab270ed3c completed March 8, 2026, 3:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69b0562c5b5081908026b3f590b03aca completed March 10, 2026, 5:34 p.m.
Created at: March 8, 2026, 2:54 p.m.