Triple

T15023161
Position Surface form Disambiguated ID Type / Status
Subject Top Trendy Festival E378136 entity
Predicate primaryVenue P373 FINISHED
Object Opera Leśna E1134117 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: Opera Leśna | Statement: [Top Trendy Festival, primaryVenue, Opera Leśna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Opera Leśna
Context triple: [Top Trendy Festival, primaryVenue, Opera Leśna]
  • A. Opera Leśna chosen
    Opera Leśna is a famous open-air amphitheatre located in Sopot, Poland, renowned for hosting major music festivals and concerts in a forest setting.
  • B. Ciechocinek
    Ciechocinek is a Polish spa town renowned for its historic saline graduation towers and therapeutic health resorts.
  • C. Augustówka
    Augustówka is a small residential and green neighborhood located within the Mokotów district of Warsaw, Poland.
  • D. Stryszawa
    Stryszawa is a village in southern Poland that serves as the administrative center of Gmina Stryszawa in Lesser Poland Voivodeship.
  • E. Jaworzyna Krynicka
    Jaworzyna Krynicka is a prominent mountain in southern Poland’s Beskid Sądecki range, known for its ski resort, hiking trails, and cable car access near the spa town of Krynica-Zdrój.
  • 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_69d85cd3a3c881908c71fc424d459c17 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded7de117c8190a1b9fa8d1602057e completed April 15, 2026, 12:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69feb7d956808190a3f17ef14c21d3af completed May 9, 2026, 4:28 a.m.
Created at: April 10, 2026, 2:56 a.m.