Triple

T15749252
Position Surface form Disambiguated ID Type / Status
Subject All Saints Church in Blizne E381804 entity
Predicate locatedIn P40 FINISHED
Object Blizne E381804 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: Blizne | Statement: [All Saints Church in Blizne, locatedIn, Blizne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Blizne
Context triple: [All Saints Church in Blizne, locatedIn, Blizne]
  • A. Blizne chosen
    Blizne is a village in southeastern Poland best known for its historic wooden All Saints Church, a UNESCO World Heritage Site.
  • B. Bliznaka
    Bliznaka is one of Bulgaria’s famous Seven Rila Lakes, known for its distinctive twin-like shape and scenic alpine surroundings in the Rila Mountains.
  • C. Mraz
    Mraz is a surname most notably associated with American singer-songwriter Jason Mraz.
  • D. Śnieżnica
    Śnieżnica is a mountain peak in southern Poland, located in the Beskid Wyspowy range and popular for hiking and winter sports.
  • E. Zima
    Zima is a surname most notably associated with a family of American actresses, including Yvonne Zima and her sisters Madeline and Vanessa.
  • 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_69d86d9e6b44819085d1f6a969ecb74c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0502fd3608190b42e647b9c2b41a1 completed April 16, 2026, 2:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff830b85408190b9ae4d6752524b99 completed May 9, 2026, 6:55 p.m.
Created at: April 10, 2026, 4:46 a.m.