Triple

T5952240
Position Surface form Disambiguated ID Type / Status
Subject Assen E132426 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: [Assen, hasTwinTown, Płock]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Płock
Context triple: [Assen, 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. Siedlce
    Siedlce is a city in eastern Poland known as a local economic, cultural, and transportation hub.
  • C. 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.
  • D. Mielec
    Mielec is a town in southeastern Poland known for its aviation industry and manufacturing sector.
  • E. Radom
    Radom is a city in central Poland known as an important regional industrial and cultural center.
  • 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_69c0086b05cc8190a8f36a96927a525c completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c03983b8848190afaa37f35c95bad6 completed March 22, 2026, 6:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69c998a68c24819099abe74525830812 completed March 29, 2026, 9:24 p.m.
Created at: March 22, 2026, 4:02 p.m.