Triple

T5849540
Position Surface form Disambiguated ID Type / Status
Subject Koningsplein E129993 entity
Predicate hasNearby P350 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: [Koningsplein, hasNearby, Spui]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Spui
Context triple: [Koningsplein, hasNearby, 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. Piran Bay
    Piran Bay is a small bay in the northern Adriatic Sea, known for its picturesque coastline and the historic Slovenian town of Piran on its shore.
  • 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_69c0084de39081909eb34e6bed74215a completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c03515dc0c81908797a9713f1a603f completed March 22, 2026, 6:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0a1b052288190ace51e65f1d888ab completed March 23, 2026, 2:13 a.m.
Created at: March 22, 2026, 3:55 p.m.