Triple

T2680549
Position Surface form Disambiguated ID Type / Status
Subject Corinthia E56561 entity
Predicate hasPart P35 FINISHED
Object Xylokastro E225359 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: Xylokastro | Statement: [Corinthia, hasPart, Xylokastro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Xylokastro
Context triple: [Corinthia, hasPart, Xylokastro]
  • A. Xylokastro chosen
    Xylokastro is a coastal town in the northern Peloponnese region of Greece, known for its beaches, pine forests, and role as a local tourist destination.
  • B. 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.
  • C. Anavyssos
    Anavyssos is a coastal town in East Attica, Greece, known for its beaches and proximity to the Saronic Gulf.
  • D. Karyes
    Karyes is the principal administrative and spiritual center of the monastic community on Mount Athos in Greece.
  • E. Propylaea
    Propylaea is the monumental classical gateway that serves as the grand entrance to the Acropolis in Athens.
  • 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_69ab4a4b13fc81909dfdb3f23da46832 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd9d36ea8819094ada73d86ffaa8b completed March 7, 2026, 7:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69afa06a3eb48190891326891222766d completed March 10, 2026, 4:39 a.m.
Created at: March 6, 2026, 9:54 p.m.