Triple

T12771458
Position Surface form Disambiguated ID Type / Status
Subject Spuistraat E305255 entity
Predicate connectedTo P37 FINISHED
Object Spui E25956 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: Spui | Statement: [Spuistraat, connectedTo, Spui]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Spui
Context triple: [Spuistraat, connectedTo, Spui]
  • A. Spui chosen
    Spui is a central square and tram hub in Amsterdam, Netherlands, known for its bookstores, cultural venues, and proximity to historic canals.
  • B. Spui
    Spui is a small tidal river in South Holland, Netherlands, that branches off from the Oude Maas and plays a role in the region’s delta water system.
  • C. Bruinisse
    Bruinisse is a fishing village and tourist destination in the Dutch province of Zeeland, known for its mussel industry and location on the Grevelingen.
  • D. Spreeau
    Spreeau is a small locality within the municipality of Grünheide (Mark) in the German state of Brandenburg.
  • E. De Blaa
    De Blaa is the commonly used nickname for the Norwegian football club Stabæk Fotball, referring to the team's traditional blue colors.
  • 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_69d7bdf2b43c819098ae5aa68e61ea58 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96df4b36c81909bcc913dd5e535f8 completed April 10, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69f684f9ba848190b680d730b6a3b972 completed May 2, 2026, 11:12 p.m.
Created at: April 9, 2026, 5:28 p.m.