Triple

T13347302
Position Surface form Disambiguated ID Type / Status
Subject Gmina Jordanów E317985 entity
Predicate seat P75 FINISHED
Object Jordanów E319565 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: Jordanów | Statement: [Gmina Jordanów, seat, Jordanów]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jordanów
Context triple: [Gmina Jordanów, seat, Jordanów]
  • A. Jordanów chosen
    Jordanów is a small historic town in southern Poland, situated in the Lesser Poland region near the Beskid Mountains.
  • B. Krzemień
    Krzemień is a prominent mountain peak in Poland’s Bieszczady range, known for its scenic hiking routes and panoramic views of the surrounding Carpathian landscape.
  • C. Goleniów
    Goleniów is a town in northwestern Poland that serves as a local transport hub and gateway to the nearby regional capital Szczecin.
  • D. Gietrzwałd
    Gietrzwałd is a village in northern Poland known as a Catholic pilgrimage site due to reported Marian apparitions in 1877.
  • E. Koserow
    Koserow is a seaside resort village on the Baltic Sea coast of the island of Usedom in northeastern Germany, known for its beaches and coastal landscapes.
  • 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_69d806b5a3c08190b42c267fb092f98a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99e89c65c819093f3bea11d6073c5 completed April 11, 2026, 1:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69fbac78104881909ea8d41cfb8d4574 completed May 6, 2026, 9:02 p.m.
Created at: April 9, 2026, 9:31 p.m.