Triple

T13550951
Position Surface form Disambiguated ID Type / Status
Subject Ponte Vigo E323641 entity
Predicate crosses P416 FINISHED
Object Canale Vena E1017776 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: Canale Vena | Statement: [Ponte Vigo, crosses, Canale Vena]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Canale Vena
Context triple: [Ponte Vigo, crosses, Canale Vena]
  • A. Canale Vena chosen
    Canale Vena is a historic canal in the town of Chioggia, Italy, known for its picturesque bridges and traditional Venetian atmosphere.
  • B. Canale della Grazia
    Canale della Grazia is a smaller Venetian waterway branching from the Giudecca Canal in Venice, Italy, serving local boat traffic and bordering historic buildings.
  • C. Canale
    Canale is a small locality or frazione that forms part of the municipality of Orvieto in the Umbria region of central Italy.
  • D. Canale
    Canale is a small Italian town in the Roero area of Piedmont, known for its wine production and historic hilltop setting.
  • E. Lega River
    The Lega River is a watercourse in northeastern Poland that flows through the town of Olecko and forms part of the region’s interconnected lakes and river system.
  • 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_69d8076776248190bdf0d4fa1f85a5fc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaff0a6548190b8cde5084cef0061 completed April 12, 2026, 2:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75da4e19c819090d649b60a2dd410 completed May 3, 2026, 2:37 p.m.
Created at: April 9, 2026, 9:46 p.m.