Triple

T13347515
Position Surface form Disambiguated ID Type / Status
Subject powiat suski E317990 entity
Predicate hasSettlement P1068 FINISHED
Object Naprawa E1034666 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: Naprawa | Statement: [powiat suski, hasSettlement, Naprawa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Naprawa
Context triple: [powiat suski, hasSettlement, Naprawa]
  • A. Naprawa chosen
    Naprawa is a village in southern Poland located within the administrative district of Gmina Jordanów in Lesser Poland Voivodeship.
  • B. Nápravník
    Nápravník is a Czech surname most notably associated with Eduard Nápravník, a prominent 19th-century conductor and composer active in Russia.
  • C. Fixin
    Fixin is a Burgundy wine appellation in eastern France known for its robust red wines made primarily from Pinot Noir.
  • D. Remontado
    Remontado is an Austronesian language spoken by the Remontado Dumagat indigenous people in the Philippines.
  • E. Rembau
    Rembau is a town in the Malaysian state of Negeri Sembilan known for its Minangkabau cultural heritage and traditional adat perpatih customs.
  • 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_69f726738ea08190b0b7634b29f5d94e completed May 3, 2026, 10:41 a.m.
Created at: April 9, 2026, 9:31 p.m.