Triple

T6488340
Position Surface form Disambiguated ID Type / Status
Subject Eastern Docklands of Amsterdam E146570 entity
Predicate hasPart P35 FINISHED
Object Piet Heinkade E127365 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: Piet Heinkade | Statement: [Eastern Docklands of Amsterdam, hasPart, Piet Heinkade]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Piet Heinkade
Context triple: [Eastern Docklands of Amsterdam, hasPart, Piet Heinkade]
  • A. Piet Heinkade chosen
    Piet Heinkade is a major waterfront street in Amsterdam’s Eastern Docklands, known for its modern architecture, offices, cultural venues, and views over the IJ.
  • B. Servetstraat
    Servetstraat is a small historic street located near Dom Square in the center of Utrecht, Netherlands.
  • C. Koningsstraat
    Koningsstraat is a major central street in Brussels, Belgium, known for its straight, ceremonial layout and its role connecting key royal and administrative landmarks.
  • D. Paleisstraat
    Paleisstraat is a central street in Amsterdam that runs alongside the Royal Palace and links Dam Square with the Jordaan area.
  • E. Cornelis Krusemanstraat
    Cornelis Krusemanstraat is a residential street in Amsterdam’s Oud-Zuid district, known for its upscale housing and proximity to museums and cultural attractions.
  • 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_69c0090158c08190af0df9a2348d2d52 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c06a97fff88190b6f993c14df62649 completed March 22, 2026, 10:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c674074df08190a32f7014b2df0120 completed March 27, 2026, 12:11 p.m.
Created at: March 22, 2026, 4:52 p.m.