Triple

T6046170
Position Surface form Disambiguated ID Type / Status
Subject Rousanou Monastery E134671 entity
Predicate locatedNear P294 FINISHED
Object Kalabaka E20276 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: Kalabaka | Statement: [Rousanou Monastery, locatedNear, Kalabaka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kalabaka
Context triple: [Rousanou Monastery, locatedNear, Kalabaka]
  • A. Karyes
    Karyes is the principal administrative and spiritual center of the monastic community on Mount Athos in Greece.
  • B. Kalambaka chosen
    Kalambaka is a town in central Greece best known as the gateway to the Meteora monasteries perched atop towering rock formations.
  • C. Paleochori
    Paleochori is a popular volcanic-sand beach on the Greek island of Milos, known for its colorful cliffs, thermal springs, and clear waters.
  • D. Perachori
    Perachori is a traditional mountain village on the Greek island of Ithaca, known for its scenic views, stone houses, and proximity to hiking trails and historical sites.
  • E. Metsovo
    Metsovo is a mountainous town in northwestern Greece, known for its traditional stone architecture, local cheeses and wines, and role as a winter and cultural tourism destination in the Pindus range.
  • 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_69c00876a69881908088a2626d3b2666 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c056e53f508190864be04bc016c525 completed March 22, 2026, 8:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69c113a2b65c8190a1891e790cb9a5de completed March 23, 2026, 10:19 a.m.
Created at: March 22, 2026, 4:09 p.m.