Triple

T22145612
Position Surface form Disambiguated ID Type / Status
Subject Mogielica E547278 entity
Predicate hasPolishName P15778 FINISHED
Object Mogielica NE NERFINISHED

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: Mogielica | Statement: [Mogielica, hasPolishName, Mogielica]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mogielica
Context triple: [Mogielica, hasPolishName, Mogielica]
  • A. Mogielica chosen
    Mogielica is a prominent mountain peak in southern Poland, known for its scenic hiking trails and panoramic views of the Beskid Wyspowy range.
  • B. Mikołów
    Mikołów is a historic town in southern Poland known for its traditional Silesian character and proximity to the regional capital, Katowice.
  • C. Maruszyna
    Maruszyna is a village in southern Poland, located in the Lesser Poland Voivodeship within Nowy Targ County.
  • D. Muszyna
    Muszyna is a spa and tourist town in southern Poland, known for its mineral springs and scenic mountain surroundings near the Slovak border.
  • E. Luborzyca
    Luborzyca is a village in southern Poland that serves as the administrative center of the Gmina Kocmyrzów-Luborzyca in Lesser Poland Voivodeship.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e3a95d88190a3bd80d9471976c3 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f129f097248190a8a3cdff1593b5b5 completed April 28, 2026, 9:43 p.m.
Created at: April 16, 2026, 8:33 p.m.