Triple

T8191005
Position Surface form Disambiguated ID Type / Status
Subject Sliedrecht E191303 entity
Predicate borderedBy P224 FINISHED
Object Molenlanden E97218 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: Molenlanden | Statement: [Sliedrecht, borderedBy, Molenlanden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Molenlanden
Context triple: [Sliedrecht, borderedBy, Molenlanden]
  • A. Molenlanden chosen
    Molenlanden is a municipality in the Dutch province of South Holland, known for its rural landscape, historic villages, and proximity to the Kinderdijk windmills.
  • B. Molenwaard
    Molenwaard was a former municipality in the Dutch province of South Holland that later became part of the newly formed municipality of Molenlanden.
  • C. Vierpolders
    Vierpolders is a village in the Dutch province of South Holland, known for its rural character and location near the town of Brielle.
  • D. Kennemerland
    Kennemerland is a coastal historical region in the northwest of the Netherlands, known for its dunes, beaches, and old trading towns.
  • E. Land van Heusden
    Land van Heusden is a historic region in the northern part of the Dutch province of North Brabant, centered around the town of Heusden and known for its medieval fortifications and river 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_69ca82c5b6948190a583c096fb0a6c71 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb4da2f4108190b9b69cb7f41ef374 completed March 31, 2026, 4:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69cced979d408190851088c6d3f4df24 completed April 1, 2026, 10:04 a.m.
Created at: March 30, 2026, 5:41 p.m.