Triple

T14715861
Position Surface form Disambiguated ID Type / Status
Subject Sea of Crete E345676 entity
Predicate hasTypicalWind P37481 FINISHED
Object Meltemi E66649 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: Meltemi | Statement: [Sea of Crete, hasTypicalWind, Meltemi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Meltemi
Context triple: [Sea of Crete, hasTypicalWind, Meltemi]
  • A. Meltemi chosen
    Meltemi is a strong, dry northerly wind that blows over the Aegean Sea in summer, known for bringing clear skies and choppy seas.
  • B. Bahar
    Bahar is a small city in western Iran known for its agricultural surroundings and location within Hamedan Province.
  • C. Murça
    Murça is a small municipality in northern Portugal, known for its wine production and location within the Douro region.
  • D. Nilüfer
    Nilüfer is a modern district and rapidly developing residential and commercial area within the city of Bursa in northwestern Turkey.
  • E. Kolymvari
    Kolymvari is a coastal town in northwestern Crete, Greece, known for hosting the 2016 Holy and Great Council of the Orthodox Church.
  • 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_69d822e5911c8190ba589f957dbd9ba7 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb98513b081908b230f6ac79c72ad completed April 14, 2026, 10:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdf0913d6c8190886df4cd0a92aa80 completed May 8, 2026, 2:17 p.m.
Created at: April 10, 2026, 1:29 a.m.