Triple

T1986002
Position Surface form Disambiguated ID Type / Status
Subject Hanseatic League E43142 entity
Predicate hasMember P10 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: [Hanseatic League, hasMember, Kampen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kampen
Context triple: [Hanseatic League, hasMember, 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. Battleground
    "Battleground" is a World War II drama film written by Paul Vogel that follows a besieged American infantry unit during the Battle of the Bulge.
  • E. Battle of the Nations
    The Battle of the Nations was a major 1813 Napoleonic War engagement near Leipzig in which a coalition of European powers decisively defeated Napoleon’s forces.
  • 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_69a88713ddc88190a969715658ebe7a8 completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb8232d788190938f261fd4b2f2fd completed March 7, 2026, 5:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae0331eec881909463163fb71e4eba completed March 8, 2026, 11:16 p.m.
Created at: March 4, 2026, 7:37 p.m.