Triple

T14799403
Position Surface form Disambiguated ID Type / Status
Subject Romania–Ukraine border E347865 entity
Predicate passesNearCity P3945 FINISHED
Object Rakhiv E731523 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: Rakhiv | Statement: [Romania–Ukraine border, passesNearCity, Rakhiv]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rakhiv
Context triple: [Romania–Ukraine border, passesNearCity, Rakhiv]
  • A. Rakhiv chosen
    Rakhiv is a small town in western Ukraine’s Carpathian Mountains, often noted as one of the country’s highest-altitude and geographically central settlements.
  • B. Rakytov
    Rakytov is a prominent mountain peak in Slovakia’s Veľká Fatra range, known for its panoramic views and popular hiking trails.
  • C. Rakhumai
    Rakhumai is a revered Hindu goddess worshipped as the compassionate consort of Vithoba (a form of Krishna/Vishnu) at the famous Pandharpur temple in Maharashtra.
  • D. Rakitin
    Rakitin is a character in Ivan Turgenev’s play "Two Women" (also known as "A Month in the Country"), typically portrayed as an intelligent, observant friend whose unrequited love and ironic detachment highlight the emotional tensions among the main characters.
  • E. Rudsak
    Rudsak is a Canadian fashion brand known for its contemporary outerwear, leather goods, and accessories.
  • 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_69d822ea8b7c819097dfadf3d45545e6 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decd62c36c81909c2993dc7d1a79ea completed April 14, 2026, 11:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe24c2cd848190bb0d8e4b5f7a489c completed May 8, 2026, 6 p.m.
Created at: April 10, 2026, 1:31 a.m.