Triple

T12143126
Position Surface form Disambiguated ID Type / Status
Subject Ustka E289241 entity
Predicate locatedIn P40 FINISHED
Object Słupsk County E684649 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: Słupsk County | Statement: [Ustka, locatedIn, Słupsk County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Słupsk County
Context triple: [Ustka, locatedIn, Słupsk County]
  • A. Słupsk County chosen
    Słupsk County is an administrative district in northern Poland’s Pomeranian Voivodeship, encompassing coastal areas along the Baltic Sea and several protected natural landscapes.
  • B. Kościerzyna County
    Kościerzyna County is an administrative district in the Pomeranian Voivodeship of northern Poland, with the town of Kościerzyna as its seat.
  • C. Kwidzyn County
    Kwidzyn County is an administrative district (powiat) in the Pomeranian Voivodeship of northern Poland, known for its historic towns and mixed agricultural and forested landscapes.
  • D. Świdwin County
    Świdwin County is an administrative district in the West Pomeranian Voivodeship of northwestern Poland, encompassing the town of Świdwin and surrounding rural areas.
  • E. Suwałki County
    Suwałki County is an administrative district in northeastern Poland, known for its lakes, forests, and proximity to the borders with Lithuania and Russia.
  • 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_69d6ab4c6710819097a9d228382dde43 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915aacaa08190b31f54e230334406 completed April 10, 2026, 3:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f79d2f958c819094b3c43f8bbd362b completed May 3, 2026, 7:08 p.m.
Created at: April 8, 2026, 9:49 p.m.