Triple

T19657682
Position Surface form Disambiguated ID Type / Status
Subject Parczew E471991 entity
Predicate voivodeshipCapital P16248 FINISHED
Object Lublin (regional capital) NE NERFINISHED

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: Lublin (regional capital) | Statement: [Parczew, voivodeshipCapital, Lublin (regional capital)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lublin (regional capital)
Context triple: [Parczew, voivodeshipCapital, Lublin (regional capital)]
  • A. Lublin chosen
    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.
  • B. Radom
    Radom is a city in central Poland known as an important regional industrial and cultural center.
  • C. Łódź
    Łódź is one of Poland’s largest cities, historically known as a major industrial and textile manufacturing center.
  • D. Mińsk Mazowiecki
    Mińsk Mazowiecki is a town in east-central Poland that functions as a local urban center within the broader Warsaw metropolitan area.
  • E. Lubawa
    Lubawa is a historic town in northern Poland known for its medieval heritage and location within the Warmian-Masurian region.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e51395348190ac1416d46dfc6db0 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e641475f408190bd42ef3f8d590719 completed April 20, 2026, 3:07 p.m.
Created at: April 10, 2026, 1:45 p.m.