Triple

T14442491
Position Surface form Disambiguated ID Type / Status
Subject Veerse Meer E358116 entity
Predicate nearbySettlement P350 FINISHED
Object Kortgene E355583 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: Kortgene | Statement: [Veerse Meer, nearbySettlement, Kortgene]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kortgene
Context triple: [Veerse Meer, nearbySettlement, Kortgene]
  • A. Kortgene chosen
    Kortgene is a small town in the Dutch province of Zeeland, known as an administrative and recreational center on the island of Noord-Beveland.
  • B. Kuortane
    Kuortane is a rural municipality in western Finland known for its lakeside landscapes and its national sports training center.
  • C. Khortha
    Khortha is an Indo-Aryan language spoken primarily in the Indian state of Jharkhand, where it serves as a major regional vernacular among local communities.
  • D. Kortessem
    Kortessem is a small municipality in the Belgian province of Limburg, known for its rural character and historic churches and castles.
  • E. Kureelpa
    Kureelpa is a rural locality in the Sunshine Coast Region of Queensland, Australia, known for its scenic hinterland setting and small community atmosphere.
  • 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_69d8279402a88190821ffa39ae15bccf completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de915d28ec81909e72124e9dd67bfb completed April 14, 2026, 7:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5bda6ee88190aeec77092eb3576a completed May 8, 2026, 3:43 a.m.
Created at: April 10, 2026, 1:18 a.m.