Triple

T13417379
Position Surface form Disambiguated ID Type / Status
Subject Saint Spyridon Church E313247 entity
Predicate locatedIn P40 FINISHED
Object Corfu E88249 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: Corfu | Statement: [Saint Spyridon Church, locatedIn, Corfu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Corfu
Context triple: [Saint Spyridon Church, locatedIn, Corfu]
  • A. Corfu chosen
    Corfu is a Greek island in the Ionian Sea known for its lush landscapes, Venetian-influenced architecture, and rich cultural history.
  • B. Kefalonia
    Kefalonia is a large Greek island in the Ionian Sea known for its dramatic limestone cliffs, clear turquoise waters, and picturesque villages.
  • C. Zakynthos
    Zakynthos is a Greek island in the Ionian Sea known for its stunning beaches, clear blue waters, and dramatic coastal cliffs.
  • D. Lefkada
    Lefkada is a Greek island in the Ionian Sea known for its dramatic cliffs, turquoise waters, and popular beaches such as Porto Katsiki and Egremni.
  • E. Karpathos
    Karpathos is a Greek island in the southeastern Aegean Sea known for its rugged mountains, traditional villages, and clear, windswept beaches popular with windsurfers.
  • 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_69d806ad0c44819088833ae1ec9e9690 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaeb8416c8190a00dde0917c26f51 completed April 12, 2026, 2:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7c0d591648190beb4430c6b199eb8 completed May 3, 2026, 9:40 p.m.
Created at: April 9, 2026, 9:39 p.m.