Triple

T3183696
Position Surface form Disambiguated ID Type / Status
Subject Meltemi E66649 entity
Predicate alsoKnownAs P39 FINISHED
Object etesian wind E169167 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: etesian wind | Statement: [Meltemi, alsoKnownAs, etesian wind]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: etesian wind
Context triple: [Meltemi, alsoKnownAs, etesian wind]
  • A. Etesian winds chosen
    Etesian winds are strong, dry, seasonal northerly winds that blow over the Aegean Sea and eastern Mediterranean during the summer, bringing cooler, less humid conditions.
  • B. Mistral
    Mistral is a strong, cold, and dry northwesterly wind that blows from southern France into the Mediterranean, significantly influencing the climate and weather of the region.
  • C. Bora wind
    The Bora wind is a cold, dry, and often violent northeasterly wind that blows from the interior highlands toward the Adriatic Sea, especially affecting coastal areas like Trieste.
  • D. Ankara Rüzgarı
    Ankara Rüzgarı is a popular nickname for the Turkish football club Gençlerbirliği S.K., reflecting its dynamic and spirited playing style associated with the city of Ankara.
  • E. Breeze
    Breeze is a web conferencing and e-learning software platform originally developed by Macromedia for online presentations, training, and collaboration.
  • 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_69ad8587c1bc8190a2595f2c22ee1001 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada6bea1788190bbce7cb52f8e72e8 completed March 8, 2026, 4:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2360079e4819085ee8b6553e3da02 completed March 12, 2026, 3:41 a.m.
Created at: March 8, 2026, 3:06 p.m.