Triple

T22071722
Position Surface form Disambiguated ID Type / Status
Subject Amsterdam-Noord waterfront E545423 entity
Predicate hasLandmark P105 FINISHED
Object Pllek 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: Pllek | Statement: [Amsterdam-Noord waterfront, hasLandmark, Pllek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pllek
Context triple: [Amsterdam-Noord waterfront, hasLandmark, Pllek]
  • A. Pllek chosen
    Pllek is a popular creative waterfront restaurant and cultural venue in Amsterdam, known for its industrial-chic design, city beach, and frequent music and arts events.
  • B. Pleck
    Pleck is a residential and industrial area within the town of Walsall in the West Midlands, England.
  • C. T'Pel
    T'Pel is a Vulcan woman from the Star Trek universe, known primarily as the wife of Starfleet officer Tuvok and mother of their children.
  • D. Plered
    Plered was a historical Javanese city that served as a royal center of power during the era of the Mataram Sultanate in central Java.
  • E. Plasmarl
    Plasmarl is a residential and industrial district in the city of Swansea, Wales, known for its proximity to the River Tawe and major transport routes.
  • 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_69e11e344dfc81909b1d88a7221329c7 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f12888dcc08190b18d3d44d09ab943 completed April 28, 2026, 9:37 p.m.
Created at: April 16, 2026, 8:28 p.m.