Triple

T6809558
Position Surface form Disambiguated ID Type / Status
Subject Szczecin Lagoon E156594 entity
Predicate nearCity P350 FINISHED
Object Nowe Warpno E586145 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: Nowe Warpno | Statement: [Szczecin Lagoon, nearCity, Nowe Warpno]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nowe Warpno
Context triple: [Szczecin Lagoon, nearCity, Nowe Warpno]
  • A. Nowe Warpno chosen
    Nowe Warpno is a small historic town in northwestern Poland near the German border, situated on the Szczecin Lagoon.
  • B. Hajnówka
    Hajnówka is a town in northeastern Poland known as a gateway to the Białowieża Forest and a center of Belarusian minority culture.
  • C. Nowa Dęba
    Nowa Dęba is a small town in southeastern Poland, known for its industrial traditions and location in the Subcarpathian Voivodeship.
  • D. Plac Nowy
    Plac Nowy is a historic central square and social hub in Kraków’s Kazimierz district, known for its market stalls, food vendors, and vibrant nightlife.
  • E. Polska Nowa Wieś
    Polska Nowa Wieś is a village in southwestern Poland known for its proximity to Opole and its local sports and general aviation airport.
  • 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_69c68828b26c819090fe9df7612bbc27 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d30c741881909e220b05aa564bc2 completed March 27, 2026, 6:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69c71aa5411c81908d05bef3213b39f1 completed March 28, 2026, 12:02 a.m.
Created at: March 27, 2026, 2:16 p.m.