Triple

T6192548
Position Surface form Disambiguated ID Type / Status
Subject Dalín ski and recreation areas E138428 entity
Predicate locatedNear P294 FINISHED
Object Myślenice E26049 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: Myślenice | Statement: [Dalín ski and recreation areas, locatedNear, Myślenice]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Myślenice
Context triple: [Dalín ski and recreation areas, locatedNear, Myślenice]
  • A. Myślenice chosen
    Myślenice is a historic town in southern Poland known for its picturesque setting near the Carpathian foothills and its role as a local cultural and tourist center.
  • B. Mołodeczno
    Mołodeczno is a town in present-day Belarus that historically served as an important regional center in the former Wilno Voivodeship.
  • C. Działdowo
    Działdowo is a town in northern Poland known for its historical significance and location within the Warmian-Masurian Voivodeship.
  • D. Oleśnica
    Oleśnica is a historic town in southwestern Poland known for its Renaissance castle and well-preserved old town.
  • E. Krzeszowice
    Krzeszowice is a town in southern Poland known for its historic spa traditions and picturesque location near Kraków.
  • 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_69c008ab9b3081908a11b2c744838435 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c06241977c81909ab8486f5aa30be0 completed March 22, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69c638536b3481908256d413563040ed completed March 27, 2026, 7:57 a.m.
Created at: March 22, 2026, 4:19 p.m.