Triple

T1986001
Position Surface form Disambiguated ID Type / Status
Subject Hanseatic League E43142 entity
Predicate hasMember P10 FINISHED
Object Deventer E360206 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: Deventer | Statement: [Hanseatic League, hasMember, Deventer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Deventer
Context triple: [Hanseatic League, hasMember, Deventer]
  • A. Deventer chosen
    Deventer is a historic Dutch city known for its medieval architecture, Hanseatic trading past, and annual book market.
  • B. Culemborg
    Culemborg is a historic town in the Dutch province of Gelderland, known for its medieval center and role in the early Dutch colonial era.
  • C. Zutphen
    Zutphen is a historic city in the eastern Netherlands known for its well-preserved medieval center and location along the river IJssel.
  • D. Zwolle
    Zwolle is a historic Dutch city in the eastern Netherlands known for its medieval center, cultural heritage, and regional economic importance.
  • E. Gorinchem
    Gorinchem is a historic fortified city in the Netherlands known for its well-preserved city walls and picturesque old town.
  • 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_69b44eb4706c8190870d99abc140973d completed March 13, 2026, 5:51 p.m.
Created at: March 4, 2026, 7:37 p.m.