Triple

T5776624
Position Surface form Disambiguated ID Type / Status
Subject Oostelijk Havengebied E127457 entity
Predicate hasPart P35 FINISHED
Object Sporenburg E127897 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: Sporenburg | Statement: [Oostelijk Havengebied, hasPart, Sporenburg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sporenburg
Context triple: [Oostelijk Havengebied, hasPart, Sporenburg]
  • A. Sporenburg chosen
    Sporenburg is a residential peninsula in Amsterdam known for its modern architecture and innovative urban design within the city’s Eastern Docklands.
  • B. Vredenburg
    Vredenburg is a town on South Africa’s West Coast that serves as a regional commercial and service hub near Saldanha Bay.
  • C. Doesburg
    Doesburg is a historic city in the Dutch province of Gelderland, known for its well-preserved medieval center and location at the confluence of the IJssel and Oude IJssel rivers.
  • D. Valkenburg
    Valkenburg is a village in the Dutch province of South Holland, known for its historic charm and proximity to the North Sea coast.
  • E. Beinsdorp
    Beinsdorp is a small village in the Dutch province of North Holland, situated within the municipality of Haarlemmermeer.
  • 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_69c008361fa88190aefa4dc41b051e7f completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c029dfccdc8190bed937f493e42aed completed March 22, 2026, 5:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0a17276648190b1fedfcc69d46b59 completed March 23, 2026, 2:12 a.m.
Created at: March 22, 2026, 3:50 p.m.