Triple

T9210138
Position Surface form Disambiguated ID Type / Status
Subject Leiderdorp E221090 entity
Predicate hasWaterway P5565 FINISHED
Object Zijl E610180 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: Zijl | Statement: [Leiderdorp, hasWaterway, Zijl]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zijl
Context triple: [Leiderdorp, hasWaterway, Zijl]
  • A. Zijl chosen
    Zijl is a waterway in the Dutch province of South Holland that serves as an important connection between local lakes and canals in the Leiden region.
  • B. Eendracht
    Eendracht was a prominent 17th-century Dutch warship that served as the flagship of the Dutch fleet during major naval engagements of the Anglo-Dutch Wars.
  • C. Eendracht
    Eendracht is a waterway in the southwestern Netherlands that forms part of the main shipping route between the Scheldt and Rhine river systems.
  • D. Zijdelwaard
    Zijdelwaard is a residential neighborhood in the town of Uithoorn in the province of North Holland, Netherlands.
  • 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_69ca83e9d0e081908bdb71097201a06c completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccd9b54520819087030148dadd6385 completed April 1, 2026, 8:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69d065efcb64819097d4624bd9e423d2 completed April 4, 2026, 1:14 a.m.
Created at: March 30, 2026, 7:26 p.m.