Triple

T19531160
Position Surface form Disambiguated ID Type / Status
Subject A10 E488654 entity
Predicate hasJunction P1018 FINISHED
Object Knooppunt Coenplein II 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: Knooppunt Coenplein II | Statement: [A10, hasJunction, Knooppunt Coenplein II]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Knooppunt Coenplein II
Context triple: [A10, hasJunction, Knooppunt Coenplein II]
  • A. Knooppunt Coenplein chosen
    Knooppunt Coenplein is a major motorway interchange in Amsterdam where several key Dutch highways converge, serving as an important junction in the region’s road network.
  • B. Muntplein
    Muntplein is a central square in Amsterdam, known as a busy traffic hub near the historic city center and the Munttoren (Mint Tower).
  • C. Troonplein
    Troonplein is a prominent square in Brussels, Belgium, located near key government buildings and the Royal Palace.
  • D. Kennemerplein
    Kennemerplein is a public square in Haarlem, Netherlands, located directly in front of the city’s main railway station and serving as a key hub for local transit and pedestrian activity.
  • E. Mr. Visserplein
    Mr. Visserplein is a public square in Amsterdam located in the city’s historic Jewish quarter, known for its proximity to significant cultural and historical landmarks.
  • 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_69d8e8db5b6c8190984b61f91981f575 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6363ec6cc8190b9e9ac0196b288f9 completed April 20, 2026, 2:20 p.m.
Created at: April 10, 2026, 1:41 p.m.