Triple

T4244951
Position Surface form Disambiguated ID Type / Status
Subject Union of Polish Metropolises E95505 entity
Predicate hasMember P10 FINISHED
Object Olsztyn E372338 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: Olsztyn | Statement: [Union of Polish Metropolises, hasMember, Olsztyn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Olsztyn
Context triple: [Union of Polish Metropolises, hasMember, Olsztyn]
  • A. Olsztyn chosen
    Olsztyn is a historic city in northern Poland known for its medieval architecture, lakes, and role as the capital of the Warmian-Masurian Voivodeship.
  • B. Ostróda
    Ostróda is a town in northern Poland known for its lakeside setting, tourism, and role as a local economic and cultural center.
  • C. Bydgoszcz
    Bydgoszcz is a major city in northern Poland known as an important economic, cultural, and academic center on the Brda and Vistula rivers.
  • D. Koszalin
    Koszalin is a city in northwestern Poland near the Baltic Sea, known as a regional cultural and economic center.
  • E. Olsztynek
    Olsztynek is a small historic town in northern Poland known for its open-air ethnographic museum and location within the picturesque Warmian-Masurian lake district.
  • 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_69b3453d91548190b4d4ef8fe52aa2ac completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34e8c42e88190b309a1ef7f6529ac completed March 12, 2026, 11:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69c787e303108190ab14b67c338b1377 completed March 28, 2026, 7:48 a.m.
Created at: March 12, 2026, 11:05 p.m.