Triple

T21182648
Position Surface form Disambiguated ID Type / Status
Subject Gmina Masłów E521990 entity
Predicate neighbouringAdministrativeUnit P33892 FINISHED
Object Kielce 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: Kielce | Statement: [Gmina Masłów, neighbouringAdministrativeUnit, Kielce]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: neighbouringAdministrativeUnit
Context triple: [Gmina Masłów, neighbouringAdministrativeUnit, Kielce]
  • A. neighbouringMunicipality chosen
    Indicates that one municipality directly borders and is adjacent to another municipality.
  • B. hasNeighboringLGA
    Indicates that one local government area is geographically adjacent to or directly borders another local government area.
  • C. neighboringRegion
    Indicates that two regions share a common boundary or are directly adjacent to each other geographically.
  • D. administrativeDistrictOf
    Indicates that one entity serves as the administrative district or jurisdictional area governing or encompassing another entity.
  • E. adjacentProvince
    Indicates that two provinces share a common boundary and are directly next to each other geographically.
  • F. None of above.

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_69e0b50ef1d48190b063aa342667df22 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7301eb3248190b9f6fc1586651fec completed April 21, 2026, 8:06 a.m.
PD Predicate disambiguation batch_69e5f6027c248190a170a36612bd337e completed April 20, 2026, 9:46 a.m.
Created at: April 16, 2026, 3:04 p.m.