Triple

T4244957
Position Surface form Disambiguated ID Type / Status
Subject Union of Polish Metropolises E95505 entity
Predicate hasMember P10 FINISHED
Object Gorzów Wielkopolski E525032 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: Gorzów Wielkopolski | Statement: [Union of Polish Metropolises, hasMember, Gorzów Wielkopolski]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gorzów Wielkopolski
Context triple: [Union of Polish Metropolises, hasMember, Gorzów Wielkopolski]
  • A. Gorzów Wielkopolski chosen
    Gorzów Wielkopolski is a city in western Poland, known as one of the two capitals of the Lubusz Voivodeship and an important regional industrial and cultural center.
  • B. Glogów
    Glogów is a historic town in western Poland on the Oder River, known for its medieval origins and reconstructed Old Town.
  • C. Inowrocław
    Inowrocław is a historic spa and industrial city in north-central Poland, known for its saltworks and location in the Kuyavia region.
  • D. Wyszogród
    Wyszogród is a historic town in central Poland on the Vistula River, known for its medieval roots and strategic location that has seen numerous military events over the centuries.
  • 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_69c124d359ec819086420b7e00b8d630 completed March 23, 2026, 11:32 a.m.
Created at: March 12, 2026, 11:05 p.m.