Triple

T16730950
Position Surface form Disambiguated ID Type / Status
Subject WND E406589 entity
Predicate appliesToAdministrativeUnit P7602 FINISHED
Object Gmina Leoncin E406588 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: Gmina Leoncin | Statement: [WND, appliesToAdministrativeUnit, Gmina Leoncin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gmina Leoncin
Context triple: [WND, appliesToAdministrativeUnit, Gmina Leoncin]
  • A. Gmina Leoncin chosen
    Gmina Leoncin is a rural administrative district in east-central Poland, situated in the Masovian Voivodeship near Warsaw.
  • B. Gmina Gnojno
    Gmina Gnojno is a rural administrative district in south-central Poland, located within the Świętokrzyskie Voivodeship.
  • C. Gmina Zalewo
    Gmina Zalewo is an administrative district (gmina) in northern Poland that includes the town of Zalewo and surrounding rural areas.
  • D. Gmina Milejewo
    Gmina Milejewo is a rural administrative district in northern Poland, located in the Warmian-Masurian Voivodeship.
  • E. Gmina Łącko
    Gmina Łącko is a rural administrative district in southern Poland, known for its picturesque mountainous landscapes and traditional highland culture.
  • 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_69d8838f242881908abd8bc138795886 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3874bd7648190a6a7d173d4b497a7 completed April 18, 2026, 1:29 p.m.
NED1 Entity disambiguation (via context triple) batch_6a009d4a94688190aabe56c34e8cc2c3 completed May 10, 2026, 2:59 p.m.
Created at: April 10, 2026, 5:20 a.m.