Triple

T15131389
Position Surface form Disambiguated ID Type / Status
Subject Koudekerke E361427 entity
Predicate locatedOnFormerIsland P61019 FINISHED
Object Walcheren E73296 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: Walcheren | Statement: [Koudekerke, locatedOnFormerIsland, Walcheren]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Walcheren
Context triple: [Koudekerke, locatedOnFormerIsland, Walcheren]
  • A. Walcheren chosen
    Walcheren is a peninsula and former island in the Dutch province of Zeeland, known for its coastal towns, beaches, and strategic location at the mouth of the Western Scheldt.
  • B. Walcheren Island
    Walcheren Island is a strategically located island in the province of Zeeland in the southwestern Netherlands, historically significant for its role in various military campaigns and coastal defenses.
  • C. Steinsel
    Steinsel is a small commune and town in central Luxembourg, situated just north of the capital city.
  • D. Donges
    Donges is a commune in western France’s Loire-Atlantique department, known for its major oil refinery and industrial port facilities along the Loire River.
  • E. Ille
    Ille is a small river in northwestern France that flows through the city of Rennes and joins the Vilaine River.
  • 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_69d85a06450081909c5a14ea9851a15e completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e005b194748190801e3956bf2429d4 completed April 15, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fec87ed2cc8190b4cae72774e0df7f completed May 9, 2026, 5:39 a.m.
Created at: April 10, 2026, 3:06 a.m.