Triple

T7452968
Position Surface form Disambiguated ID Type / Status
Subject Nieuport E172050 entity
Predicate mouthOf P1008 FINISHED
Object Yser River E164297 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: Yser River | Statement: [Nieuport, mouthOf, Yser River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yser River
Context triple: [Nieuport, mouthOf, Yser River]
  • A. Yser River chosen
    The Yser River is a short coastal river in northern France and western Belgium that flows into the North Sea and is historically notable for its role in World War I.
  • B. 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.
  • C. River Zenne
    The River Zenne is a small Belgian river that flows through Brussels and surrounding towns, historically shaping the region’s development and urban landscape.
  • D. Sambre
    The Sambre is a major river in northern France and southern Belgium that flows through the Walloon region before joining the Meuse at Namur.
  • E. Eure River
    The Eure River is a tributary of the Seine in northern France that flows through the city of Chartres and several other towns in the Normandy and Centre-Val de Loire regions.
  • 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_69c68a66554c8190add75c65942c0317 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f3ac5c2081908ab03f8bd4586f94 completed March 27, 2026, 9:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c83455d84c8190bd129fda0813dc56 completed March 28, 2026, 8:04 p.m.
Created at: March 27, 2026, 3:14 p.m.