Triple

T13230499
Position Surface form Disambiguated ID Type / Status
Subject Płock Voivodeship E315003 entity
Predicate hasCapitalCity P204 FINISHED
Object Płock 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: Płock | Statement: [Płock Voivodeship, hasCapitalCity, Płock]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Płock
Context triple: [Płock Voivodeship, hasCapitalCity, Płock]
  • A. Płock chosen
    Płock is a historic city in central Poland known for its medieval architecture and scenic location on the banks of the Vistula River.
  • B. Wołomin
    Wołomin is a town in east-central Poland that functions as a suburban community within the greater Warsaw metropolitan area.
  • C. Siedlce
    Siedlce is a city in eastern Poland known as a local economic, cultural, and transportation hub.
  • D. Ciechanów
    Ciechanów is a historic town in east-central Poland, known as a regional center of the Mazovian area with a medieval castle and long-standing cultural traditions.
  • E. Pułtusk
    Pułtusk is a historic town in east-central Poland, known for its medieval heritage and its role as the site of several significant battles, including during the Napoleonic Wars.
  • 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_69d806affc688190a25b6ccc588e9c72 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98d336ae08190bfc118cfbefddf84 completed April 10, 2026, 11:52 p.m.
Created at: April 9, 2026, 9:21 p.m.