Triple

T13347499
Position Surface form Disambiguated ID Type / Status
Subject powiat suski E317990 entity
Predicate hasHighestPoint P210 FINISHED
Object Babia Góra E422492 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: Babia Góra | Statement: [powiat suski, hasHighestPoint, Babia Góra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Babia Góra
Context triple: [powiat suski, hasHighestPoint, Babia Góra]
  • A. Babia Góra chosen
    Babia Góra is a prominent mountain on the Polish–Slovak border, renowned for its rugged landscapes, unique alpine flora, and status as a UNESCO-designated biosphere reserve.
  • B. Kamienna Góra
    Kamienna Góra is a town in southwestern Poland known for its historic architecture and location near the Sudetes mountains.
  • C. Lisia Góra
    Lisia Góra is a village in southern Poland that serves as the administrative seat of Gmina Lisia Góra in the Lesser Poland Voivodeship.
  • D. Borowa Góra
    Borowa Góra is a locality in central Poland known primarily as the site of a World War II battle between Polish and German forces in September 1939.
  • E. Szklarska Poręba
    Szklarska Poręba is a popular Polish mountain resort town known for skiing, hiking, and scenic landscapes in the Karkonosze range near the Czech border.
  • 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_69d806b5a3c08190b42c267fb092f98a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99e8b28e48190a23194e03a74b41b completed April 11, 2026, 1:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7306668288190ae8dc05ebadb4975 completed May 3, 2026, 11:24 a.m.
Created at: April 9, 2026, 9:31 p.m.