Triple

T10638598
Position Surface form Disambiguated ID Type / Status
Subject Scalabrini Ortiz station (Line D, Buenos Aires Underground) E250656 entity
Predicate previousName P65 FINISHED
Object Canning E165535 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: Canning | Statement: [Scalabrini Ortiz station (Line D, Buenos Aires Underground), previousName, Canning]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Canning
Context triple: [Scalabrini Ortiz station (Line D, Buenos Aires Underground), previousName, Canning]
  • A. Canning chosen
    Canning is an English surname most notably associated with George Canning, a 19th-century British statesman and briefly Prime Minister.
  • B. Canning
    Canning is a town in the South 24 Parganas district of West Bengal, India, known as a gateway to the Sundarbans mangrove forests.
  • C. FoodSaver
    FoodSaver is a consumer brand best known for its home vacuum sealing systems that help preserve and store food for longer periods.
  • D. Can of Pork
    Can of Pork is a 1992 punk rock compilation album featuring various bands from the Lookout Records roster and related artists.
  • E. Saveur
    Saveur is a culinary magazine known for its in-depth exploration of global cuisines, food culture, and travel.
  • 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_69d6aa5993448190a493b790b8f85010 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6dfaf12188190a5774d4d64674653 completed April 8, 2026, 11:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69d96bcd8c0c8190a0fad6a85b5604bb completed April 10, 2026, 9:29 p.m.
Created at: April 8, 2026, 9:04 p.m.