Triple

T21514146
Position Surface form Disambiguated ID Type / Status
Subject Mierzeja Wiślana E530800 entity
Predicate hasSettlement P1068 FINISHED
Object Piaski 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: Piaski | Statement: [Mierzeja Wiślana, hasSettlement, Piaski]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Piaski
Context triple: [Mierzeja Wiślana, hasSettlement, Piaski]
  • A. Piaski chosen
    Piaski is a small Polish coastal village situated on the Vistula Spit near the border with Russia’s Kaliningrad Oblast.
  • B. Piaski
    Piaski is a town in eastern Poland that serves as a local transport hub and junction point for regional roads and expressways.
  • C. Biała Piska
    Biała Piska is a small town in northeastern Poland known for its location amid the lakes and forests of the Warmian-Masurian region.
  • D. Stare Piaski
    Stare Piaski is a village in central Poland located within the administrative district of Gmina Bielawy in Łódź Voivodeship.
  • E. Rakoń
    Rakoń is a mountain peak in the Western Tatras on the Polish-Slovak border, popular with hikers for its scenic ridge views.
  • 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_69e0c45c81f08190a6b8bbb70a45aae7 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9ea88e6fc8190a4b73b8d32dae5a8 completed April 23, 2026, 9:46 a.m.
Created at: April 16, 2026, 6:25 p.m.