Triple

T16589757
Position Surface form Disambiguated ID Type / Status
Subject Liszki E403052 entity
Predicate partOf P40 FINISHED
Object Gmina Liszki E1223201 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 Liszki | Statement: [Liszki, partOf, Gmina Liszki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gmina Liszki
Context triple: [Liszki, partOf, Gmina Liszki]
  • A. Gmina Liszki chosen
    Gmina Liszki is a rural administrative district in southern Poland, located in Kraków County within the Lesser Poland Voivodeship.
  • B. Gmina Wiślica
    Gmina Wiślica is a rural administrative district in south-central Poland, centered on the historic town of Wiślica and located within the Świętokrzyskie Voivodeship.
  • C. Gmina Lipinki
    Gmina Lipinki is a rural administrative district in southern Poland, situated in the Lesser Poland Voivodeship.
  • D. Gmina Zielonki
    Gmina Zielonki is a rural administrative district in southern Poland, located near Kraków in the Lesser Poland Voivodeship.
  • E. Gmina Wiśniowa
    Gmina Wiśniowa is a rural administrative district in southern Poland, located in the Lesser Poland Voivodeship.
  • 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_69d88387363c8190a97a0c942130de97 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3599f3d18819082b3e6eef5506731 completed April 18, 2026, 10:14 a.m.
NED1 Entity disambiguation (via context triple) batch_6a007da6d6f08190a8524b1c955b7c2e completed May 10, 2026, 12:44 p.m.
Created at: April 10, 2026, 5:16 a.m.