Triple

T20499151
Position Surface form Disambiguated ID Type / Status
Subject river Eem E503254 entity
Predicate hasBridge P386 FINISHED
Object Koppelpoort NE NERFINISHED

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: Koppelpoort | Statement: [river Eem, hasBridge, Koppelpoort]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Koppelpoort
Context triple: [river Eem, hasBridge, Koppelpoort]
  • A. Koppelpoort chosen
    Koppelpoort is a well-preserved medieval gate and water gate in the Dutch city of Amersfoort, known for its distinctive architecture and historical significance.
  • B. Berkelpoort
    Berkelpoort is a historic medieval city gate in Zutphen, the Netherlands, that once formed part of the town’s defensive fortifications along the Berkel river.
  • C. Groothoofdspoort
    Groothoofdspoort is a historic city gate and waterfront landmark in Dordrecht, Netherlands, known for its picturesque location where several rivers meet.
  • D. Amsterdamse Poort
    Amsterdamse Poort is the last remaining medieval city gate of Haarlem, Netherlands, and a notable historic architectural monument.
  • E. Amsterdamse Poort
    Amsterdamse Poort is a large open-air shopping and entertainment district in Amsterdam-Zuidoost, known for its diverse retail outlets, eateries, and proximity to major venues like the Johan Cruijff ArenA.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4b1e52c8190894281cf7e3283ab completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e69cbff210819089900e9a35911f48 completed April 20, 2026, 9:38 p.m.
Created at: April 16, 2026, 11:35 a.m.