Triple

T6058472
Position Surface form Disambiguated ID Type / Status
Subject Czarna Góra E134971 entity
Predicate locatedNear P294 FINISHED
Object Nowy Targ E25018 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: Nowy Targ | Statement: [Czarna Góra, locatedNear, Nowy Targ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nowy Targ
Context triple: [Czarna Góra, locatedNear, Nowy Targ]
  • A. Nowy Targ chosen
    Nowy Targ is a historic town in southern Poland, regarded as the main urban center of the Podhale region and a gateway to the Tatra Mountains.
  • B. Tarnów
    Tarnów is a historic city in southern Poland known for its well-preserved Old Town, Renaissance architecture, and cultural heritage.
  • C. Hrubieszów
    Hrubieszów is a historic town in eastern Poland near the Ukrainian border, known for its multicultural heritage and location in the Lublin region.
  • D. Tarnobrzeg
    Tarnobrzeg is a city in southeastern Poland known historically for its sulfur mining industry and location along the Vistula River.
  • E. Przemyśl
    Przemyśl is a historic city in southeastern Poland near the Ukrainian border, known for its strategic location, multicultural heritage, and well-preserved fortifications.
  • 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_69c00877b6d4819096b0e163728b73a3 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c0570e64408190ae7a2504f63bb58a completed March 22, 2026, 8:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69c669d473388190a6e998956dd48e7a completed March 27, 2026, 11:28 a.m.
Created at: March 22, 2026, 4:10 p.m.