Triple

T5371986
Position Surface form Disambiguated ID Type / Status
Subject Messenia E108870 entity
Predicate hasPortTown P2745 FINISHED
Object Koroni E516277 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: Koroni | Statement: [Messenia, hasPortTown, Koroni]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Koroni
Context triple: [Messenia, hasPortTown, Koroni]
  • A. Koroni chosen
    Koroni is a historic coastal town and former Venetian fortress port located on the southern tip of the Peloponnese in Greece.
  • B. Kalloni
    Kalloni is a town on the Greek island of Lesbos, known for its large bay, salt pans, and rich birdlife.
  • C. Konitsa
    Konitsa is a town in northwestern Greece known for its mountainous landscape, traditional stone architecture, and proximity to the Albanian border.
  • D. Kardamyla
    Kardamyla is a coastal village and former seafaring community on the northeastern part of the Greek island of Chios, known for its maritime tradition and picturesque harbor.
  • E. Plomari
    Plomari is a coastal town on the Greek island of Lesbos, renowned for its traditional ouzo production and picturesque seaside setting.
  • 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_69bd440c77948190aad2a5f39b7b80f5 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd86aa0f5c8190ba96554e75696f8e completed March 20, 2026, 5:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf334ac2548190ad672943ac138373 completed March 22, 2026, 12:09 a.m.
Created at: March 20, 2026, 2:02 p.m.