Triple

T15671621
Position Surface form Disambiguated ID Type / Status
Subject Halsteren E377324 entity
Predicate locatedNear P294 FINISHED
Object Markiezaatsmeer E413538 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: Markiezaatsmeer | Statement: [Halsteren, locatedNear, Markiezaatsmeer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Markiezaatsmeer
Context triple: [Halsteren, locatedNear, Markiezaatsmeer]
  • A. Markiezaatsmeer chosen
    Markiezaatsmeer is a Dutch lake and nature reserve in the province of North Brabant, known for its wetlands and rich birdlife.
  • B. Henschotermeer
    Henschotermeer is a popular recreational lake and nature area in the Dutch province of Utrecht, known for its sandy beaches, swimming, and walking trails.
  • C. Lauwersmeer
    Lauwersmeer is a lake and national park in the northern Netherlands known for its rich birdlife and protected wetland landscapes.
  • D. Meppelerdiep
    Meppelerdiep is a canalized river and important waterway in the northeastern Netherlands that connects the town of Meppel with larger regional waterways.
  • E. Braassemermeer
    Braassemermeer is a lake in the Dutch province of South Holland, known for recreational boating and water sports.
  • 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_69d85cd2e28481909d4e975bee20872f completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04f13b1b08190beabc9f4098aa096 completed April 16, 2026, 2:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff908dae948190bb6fb51e35aff5ac completed May 9, 2026, 7:52 p.m.
Created at: April 10, 2026, 4:16 a.m.