Triple

T2295909
Position Surface form Disambiguated ID Type / Status
Subject Lordship of Overijssel E51612 entity
Predicate contains P35 FINISHED
Object Kampen E87640 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: [Lordship of Overijssel, contains, Kampen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kampen
Context triple: [Lordship of Overijssel, contains, Kampen]
  • A. Kampen chosen
    Kampen is a historic Dutch city known for its well-preserved medieval center and riverside location in the province of Overijssel.
  • B. Strijen
    Strijen is a small town and former municipality located on the Hoeksche Waard island in the Dutch province of South Holland.
  • C. Strijdom
    Strijdom is a surname most notably associated with J. G. Strijdom, a former Prime Minister of South Africa and prominent National Party politician.
  • D. Warji
    Warji is a Chadic language spoken primarily in northern Nigeria by the Warji people.
  • E. Battir
    Battir is a Palestinian village near Bethlehem renowned for its ancient terraced agriculture and irrigation system, recognized as a UNESCO World Heritage Site.
  • 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_69a88b0a9f248190bcff941463d8f65a completed March 4, 2026, 7:42 p.m.
NER Named-entity recognition batch_69abc5dc40f881908a3dcc518bbead55 completed March 7, 2026, 6:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae7f28db6c81909dbe55c704307da6 completed March 9, 2026, 8:04 a.m.
Created at: March 4, 2026, 7:49 p.m.