Triple

T15718437
Position Surface form Disambiguated ID Type / Status
Subject Arnemuiden E381020 entity
Predicate locatedIn P40 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: [Arnemuiden, locatedIn, Walcheren]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Walcheren
Context triple: [Arnemuiden, locatedIn, 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_69d86d9bf930819082b30cf6d169297c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04f932a248190b65ecfb2bc56e715 completed April 16, 2026, 2:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff75852cf88190be054160d5cbc675 completed May 9, 2026, 5:57 p.m.
Created at: April 10, 2026, 4:45 a.m.