Triple

T14186606
Position Surface form Disambiguated ID Type / Status
Subject Hoeksche Waard E351593 entity
Predicate hasPart P35 FINISHED
Object Heinenoord E116691 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: Heinenoord | Statement: [Hoeksche Waard, hasPart, Heinenoord]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Heinenoord
Context triple: [Hoeksche Waard, hasPart, Heinenoord]
  • A. Heinenoord chosen
    Heinenoord is a village in the Dutch province of South Holland, known for its rural character and the nearby Heinenoord Tunnel under the Oude Maas river.
  • B. Noorderhaaks
    Noorderhaaks is a small, uninhabited sandbar island off the Dutch coast, forming the westernmost part of the West Frisian Islands archipelago.
  • C. Noordoewer
    Noordoewer is a small border town in southern Namibia on the Orange River, serving as a key road crossing point into South Africa.
  • D. Monnickendam
    Monnickendam is a historic fishing town in North Holland, Netherlands, known for its well-preserved old harbor and traditional Dutch architecture.
  • E. Noordwolde
    Noordwolde is a village in the Dutch province of Friesland, known historically for its wickerwork industry and surrounding heath and woodland landscapes.
  • 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_69d8278834a08190b0f1784e58d7b99c completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61cd5778819092a03597bcdcc182 completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd32497780819092e2d2ffe2a9dcaf completed May 8, 2026, 12:46 a.m.
Created at: April 10, 2026, 1:03 a.m.