Triple

T13821822
Position Surface form Disambiguated ID Type / Status
Subject Hala Gąsienicowa E332155 entity
Predicate accessTrailFrom P82537 FINISHED
Object Kuźnice E333434 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: Kuźnice | Statement: [Hala Gąsienicowa, accessTrailFrom, Kuźnice]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kuźnice
Context triple: [Hala Gąsienicowa, accessTrailFrom, Kuźnice]
  • A. Kuźnice chosen
    Kuźnice is a popular mountain base and trailhead area in Zakopane, Poland, serving as a main starting point for hikes and cable car trips into the Tatra Mountains.
  • B. Kuźnica
    Kuźnica is a small Polish fishing village and seaside resort located on the Hel Peninsula along the Baltic Sea.
  • C. Chorkówka
    Chorkówka is a village in southeastern Poland known historically as the place where pioneering oil industry chemist and pharmacist Ignacy Łukasiewicz spent his final years and died.
  • D. Kozłówka
    Kozłówka is a historic Polish village best known for its grand Zamoyski family palace complex, now a museum and cultural landmark.
  • E. 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.
  • 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_69d81c5ae7c88190b0dd41bdafeb5999 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0284428081908043c55caeefb833 completed April 14, 2026, 9:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c0e966c48190abe109d44300014a completed May 3, 2026, 9:40 p.m.
Created at: April 9, 2026, 10:12 p.m.