Triple

T22971740
Position Surface form Disambiguated ID Type / Status
Subject Vila do Conde E571204 entity
Predicate crossedBy P416 FINISHED
Object Ave River NE NERFINISHED

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: Ave River | Statement: [Vila do Conde, crossedBy, Ave River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ave River
Context triple: [Vila do Conde, crossedBy, Ave River]
  • A. Ave River chosen
    The Ave River is a watercourse in northern Portugal that flows through the Minho region before emptying into the Atlantic Ocean near the city of Vila do Conde.
  • B. River Leine
    The River Leine is a major river in central Germany that flows through the city of Hanover and several federal states before joining the Aller.
  • C. Aire river
    The Aire River is a watercourse in northeastern France that flows through the Argonne region and serves as a tributary of the Aisne River.
  • D. River Tar
    The River Tar is a smaller watercourse in Ireland that feeds into the larger River Suir within its catchment area.
  • E. Aire River
    Aire River is a watercourse in the canton of Geneva, Switzerland, known for flowing through rural landscapes and forming part of the local municipal boundaries.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245b2c6548190a0e4c7f2f7df2d48 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1823370fc819084a13d6e4eb6e44e completed April 29, 2026, 3:59 a.m.
Created at: April 17, 2026, 3:48 p.m.