Triple

T16704670
Position Surface form Disambiguated ID Type / Status
Subject Sticht Utrecht E405934 entity
Predicate notableCity P2813 FINISHED
Object Kampen E547411 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: Kampen | Statement: [Sticht Utrecht, notableCity, Kampen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kampen
Context triple: [Sticht Utrecht, notableCity, Kampen]
  • A. Kampen
    Kampen is a historic Dutch city known for its well-preserved medieval center and riverside location in the province of Overijssel.
  • B. Kampen chosen
    Kampen is a historic residential neighborhood in Oslo, Norway, known for its wooden houses, hillside location, and views over the city.
  • C. Batalha
    Batalha is a Portuguese town best known for its UNESCO-listed Batalha Monastery, a masterpiece of Gothic and Manueline architecture.
  • D. Bataille
    Bataille is a French surname most famously associated with Georges Bataille, the influential 20th-century writer and philosopher known for his work on eroticism, transgression, and the sacred.
  • E. Bitwa
    "Bitwa" is a notable painting by 19th-century Polish Romantic artist Artur Grottger, known for its dramatic depiction of historical and patriotic themes.
  • 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_69d8838db21081909589220fd71440a4 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3833496dc8190ae4b4a03ba04d69d completed April 18, 2026, 1:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0091a36a5c8190a1486fcf11995b7c completed May 10, 2026, 2:09 p.m.
Created at: April 10, 2026, 5:19 a.m.