Triple

T16019484
Position Surface form Disambiguated ID Type / Status
Subject Tournai Cathedral E388561 entity
Predicate locatedOn P40 FINISHED
Object Scheldt valley E12931 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: Scheldt valley | Statement: [Tournai Cathedral, locatedOn, Scheldt valley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Scheldt valley
Context triple: [Tournai Cathedral, locatedOn, Scheldt valley]
  • A. Scheldt chosen
    The Scheldt is a major river in Western Europe that flows through France, Belgium, and the Netherlands, playing a key role in regional trade and navigation.
  • B. Scheldt basin waterways
    The Scheldt basin waterways form an interconnected network of navigable rivers and canals in Western Europe that support regional transport, trade, and water management within the Scheldt River drainage area.
  • C. Meuse basin
    The Meuse basin is the catchment area of the Meuse River, spanning parts of France, Belgium, the Netherlands, and neighboring regions, and plays a key role in the hydrology, ecology, and water management of northwestern Europe.
  • D. Niederscheld
    Niederscheld is a village and district of the town of Dillenburg in the Lahn-Dill-Kreis of Hesse, Germany.
  • E. Yser basin
    The Yser basin is the catchment area in northern France and western Belgium that collects and channels water flowing into the Yser River before it reaches the North Sea.
  • 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_69d86dabcb7c8190b6a39d6831d2fa1b completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e183222e4c81909a3ab51446b671bd completed April 17, 2026, 12:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffe47280448190923a36e9a41ce7bc completed May 10, 2026, 1:50 a.m.
Created at: April 10, 2026, 4:55 a.m.