Triple

T23458758
Position Surface form Disambiguated ID Type / Status
Subject Brühl, Germany E568006 entity
Predicate twinTown P1072 FINISHED
Object Kunice 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: Kunice | Statement: [Brühl, Germany, twinTown, Kunice]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kunice
Context triple: [Brühl, Germany, twinTown, Kunice]
  • A. Kunice chosen
    Kunice is a village in western Poland that forms part of the rural administrative district of Gmina Słubice in Lubusz Voivodeship.
  • B. Junikowo
    Junikowo is a residential district of Poznań in western Poland, known for its housing estates and local transport links.
  • C. Koshice
    Košice is the second-largest city in Slovakia, known for its well-preserved medieval old town and status as an important cultural and economic center in the country.
  • D. Kamenka
    Kamenka is a rural settlement located along the Mezen River in northern European Russia.
  • E. Kokni
    Kokni is an Indo-Aryan language spoken primarily by the Kokni tribal community in parts of western India, including Maharashtra and neighboring regions.
  • 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_69e2458b4c888190b1d7998f9862a558 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1a699c0088190a84d7a495a3e3d61 completed April 29, 2026, 6:35 a.m.
Created at: April 17, 2026, 5:53 p.m.