Triple

T20584439
Position Surface form Disambiguated ID Type / Status
Subject Sieradz County E505747 entity
Predicate containsAdministrativeTerritorialEntity P747 FINISHED
Object Błaszki 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: Błaszki | Statement: [Sieradz County, containsAdministrativeTerritorialEntity, Błaszki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Błaszki
Context triple: [Sieradz County, containsAdministrativeTerritorialEntity, Błaszki]
  • A. Błaszki chosen
    Błaszki is a small town in central Poland, historically situated within the Sieradz Land region.
  • B. Liszki
    Liszki is a village in southern Poland that serves as the seat of the rural administrative district (gmina) of Liszki near the city of Kraków.
  • C. Słomniki
    Słomniki is a small town in southern Poland, located in the Lesser Poland Voivodeship.
  • D. Czeladź
    Czeladź is a historic industrial town in southern Poland, located in the Silesian metropolitan area near Katowice.
  • E. Ryczówek
    Ryczówek is a village in southern Poland located within the administrative district of Gmina Klucze 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_69e0b4b9669c8190b8e81fc72817d42c completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a975f098819083700593a9fa6cd0 completed April 20, 2026, 10:32 p.m.
Created at: April 16, 2026, 11:40 a.m.