Triple

T14360200
Position Surface form Disambiguated ID Type / Status
Subject Kolymbithres E356076 entity
Predicate near P350 FINISHED
Object Naoussa E1106176 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: Naoussa | Statement: [Kolymbithres, near, Naoussa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Naoussa
Context triple: [Kolymbithres, near, Naoussa]
  • A. Naoussa chosen
    Naoussa is a picturesque fishing village and popular seaside resort on the Greek island of Paros, known for its charming harbor, whitewashed Cycladic architecture, and vibrant nightlife.
  • B. Elatochori
    Elatochori is a mountain village and popular ski resort area in the Pieria regional unit of northern Greece.
  • C. Varkiza
    Varkiza is a coastal suburb of Athens, Greece, known for its beaches and as the site where the Varkiza Agreement was signed after World War II.
  • D. Nea Chalkidona
    Nea Chalkidona is a suburban municipality in the Athens metropolitan area of Greece, known for its residential character and proximity to the city center.
  • E. Nea Chora
    Nea Chora is a coastal neighborhood of Chania in Crete, Greece, known for its sandy beach, seaside tavernas, and relaxed local atmosphere.
  • 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_69d82790a7e08190877e2d349b2e8d8e completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8f54bfb08190a27c0d12731acec2 completed April 14, 2026, 7:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd94a018c88190b4fdbf36687ad973 completed May 8, 2026, 7:45 a.m.
Created at: April 10, 2026, 1:15 a.m.