Triple

T4932164
Position Surface form Disambiguated ID Type / Status
Subject Naousa (Imathia) E110720 entity
Predicate hasNearbySkiResort P350 FINISHED
Object Seli ski center E465768 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: Seli ski center | Statement: [Naousa (Imathia), hasNearbySkiResort, Seli ski center]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seli ski center
Context triple: [Naousa (Imathia), hasNearbySkiResort, Seli ski center]
  • A. Seli Ski Resort chosen
    Seli Ski Resort is one of Greece’s oldest and most popular alpine ski centers, located on the slopes of Mount Vermio in northern Greece.
  • B. Vitsi Ski Center
    Vitsi Ski Center is a ski resort located on Mount Vitsi in northern Greece, offering winter sports facilities and scenic alpine landscapes.
  • C. Tetnuldi ski resort
    Tetnuldi ski resort is a modern ski area in Georgia’s Svaneti region, known for its high-altitude slopes, long runs, and views of the Caucasus Mountains.
  • D. Hemsedal Skisenter
    Hemsedal Skisenter is a major Norwegian alpine ski resort known for its extensive slopes, reliable snow conditions, and vibrant winter sports scene.
  • E. Geilo ski resort
    Geilo ski resort is one of Norway’s oldest and most popular mountain ski destinations, known for its varied slopes, family-friendly facilities, and easy access between Oslo and Bergen.
  • 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_69bd4415190c8190817bee7ec9f9f944 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd7063c57c8190a5a6fb3586238d35 completed March 20, 2026, 4:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69be77b18b6c8190bbc8d0764f6a03bf completed March 21, 2026, 10:49 a.m.
Created at: March 20, 2026, 1:30 p.m.