Triple

T12957535
Position Surface form Disambiguated ID Type / Status
Subject Mały Kack E310055 entity
Predicate hasNearbyCity P350 FINISHED
Object Rumia E921860 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: Rumia | Statement: [Mały Kack, hasNearbyCity, Rumia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rumia
Context triple: [Mały Kack, hasNearbyCity, Rumia]
  • A. Rumia chosen
    Rumia is a town in northern Poland, located near the Baltic coast and forming part of the Gdynia–Sopot–Gdańsk metropolitan area.
  • B. Sanok
    Sanok is a historic town in southeastern Poland, known for its medieval heritage and open-air ethnographic museum showcasing the culture of the Carpathian region.
  • C. Kovel
    Kovel is a historic town in northwestern Ukraine, located in the Volyn region and known as a former important railway and trade hub.
  • D. Slutsk
    Slutsk is a historic town in central Belarus known for its role as a regional center and for its traditional Slutsk belts.
  • E. Łeba
    Łeba is a river in northern Poland that flows through the Pomeranian region to the Baltic Sea.
  • 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_69d7bdfb57a88190836b743e2825feca completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d97e2c5bf481908ca6adcfd3354f71 completed April 10, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6b8dc135c819091b7708d90db25cb completed May 3, 2026, 2:54 a.m.
Created at: April 9, 2026, 5:44 p.m.