Triple

T1329446
Position Surface form Disambiguated ID Type / Status
Subject Masovian Voivodeship E28607 entity
Predicate contains P35 FINISHED
Object Radom E168498 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: Radom | Statement: [Masovian Voivodeship, contains, Radom]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Radom
Context triple: [Masovian Voivodeship, contains, Radom]
  • A. Radom chosen
    Radom is a city in central Poland known as an important regional industrial and cultural center.
  • B. Lublin
    Lublin is a historic city in eastern Poland known as a major cultural, academic, and economic center and for its significant role in Polish political history.
  • C. Łódź
    Łódź is one of Poland’s largest cities, historically known as a major industrial and textile manufacturing center.
  • D. Białystok
    Białystok is a city in northeastern Poland best known as the birthplace of L. L. Zamenhof and the cradle of the international language Esperanto.
  • E. Płock
    Płock is a historic city in central Poland known for its medieval architecture and scenic location on the banks of the Vistula River.
  • 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_69a498561a508190a3e1bc137c2b866a completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c1c30c948190afc6342b3dcda948 completed March 1, 2026, 10:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69afc00ddbf48190866fb79b4b4a2857 completed March 10, 2026, 6:54 a.m.
Created at: March 1, 2026, 7:55 p.m.