Triple

T11364044
Position Surface form Disambiguated ID Type / Status
Subject Dobrich E269156 entity
Predicate hasTwinTown P919 FINISHED
Object Płock E229370 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: Płock | Statement: [Dobrich, hasTwinTown, Płock]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Płock
Context triple: [Dobrich, hasTwinTown, 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 (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_69d6aacbe18081909e5fadb50082dd96 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea4589908190948a8225768e1eec completed April 9, 2026, 6:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff01ce8f988190b503af0cd5f2a97e completed May 9, 2026, 9:43 a.m.
Created at: April 8, 2026, 9:33 p.m.