Triple

T668908
Position Surface form Disambiguated ID Type / Status
Subject Synod of Dort E12928 entity
Predicate locatedIn P40 FINISHED
Object Dordrecht E40368 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: Dordrecht | Statement: [Synod of Dort, locatedIn, Dordrecht]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dordrecht
Context triple: [Synod of Dort, locatedIn, Dordrecht]
  • A. Dordrecht chosen
    Dordrecht is a historic Dutch city in South Holland known as one of the oldest trading centers in the Netherlands, situated strategically within the Rhine–Meuse–Scheldt river delta.
  • B. Middelburg
    Middelburg is a historic Dutch city in the province of Zeeland that served as an important maritime and trading center during the era of the Dutch East India Company.
  • C. Schiedam
    Schiedam is a Dutch city renowned for its historic jenever (gin) distilleries and exceptionally tall traditional windmills, located near Rotterdam in the province of South Holland.
  • D. Hellevoetsluis
    Hellevoetsluis is a historic Dutch port town known for its maritime heritage and coastal location in the western Netherlands.
  • E. Delfzijl
    Delfzijl is a port town in the northeast of the Netherlands, known for its maritime industry and location on the Ems estuary near the German border.
  • 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_69a493355dec819098d4244b2fa34885 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49ffbe09881909b547a52a6b34c7f completed March 1, 2026, 8:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69afbba1649081909703163de2d018cd completed March 10, 2026, 6:35 a.m.
Created at: March 1, 2026, 7:36 p.m.