Triple

T3951054
Position Surface form Disambiguated ID Type / Status
Subject Walcheren dialect E84865 entity
Predicate spokenIn P2266 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: [Walcheren dialect, spokenIn, Walcheren]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Walcheren
Context triple: [Walcheren dialect, spokenIn, 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. Ille
    Ille is a small river in northwestern France that flows through the city of Rennes and joins the Vilaine River.
  • D. Vallet
    Vallet is a small French commune known for its wine production in the Loire Valley region of western France.
  • E. Hoendiep
    Hoendiep is a canal in the Dutch province of Groningen that serves as an important regional waterway and transport route.
  • 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_69aed934fbfc8190847068e4546de963 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef9384cdc8190ad89b32dc25ac1d7 completed March 9, 2026, 4:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b533a4d3048190b63ad93a6ec87a48 completed March 14, 2026, 10:08 a.m.
Created at: March 9, 2026, 3:30 p.m.