Triple

T4628228
Position Surface form Disambiguated ID Type / Status
Subject Mario Bunge E101149 entity
Predicate nationality P2 FINISHED
Object Argentine E5383 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: Argentine | Statement: [Mario Bunge, nationality, Argentine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Argentine
Context triple: [Mario Bunge, nationality, Argentine]
  • A. Argentina chosen
    Argentina is a large South American nation known for its diverse landscapes from the Andes to the Pampas, its vibrant culture including tango and football, and its capital city Buenos Aires.
  • B. Italian Argentine
    An Italian Argentine is an Argentine citizen or resident of Italian ancestry, reflecting the large-scale Italian immigration that has significantly shaped Argentina’s culture and society.
  • C. Elle Argentina
    Elle Argentina is the Argentine edition of the international fashion and lifestyle magazine Elle, featuring content tailored to Argentine culture, trends, and readers.
  • D. Argentan
    Argentan is a historic town in the Orne department of Normandy, northwestern France, known for its lace-making tradition and World War II history.
  • E. Argentina Time
    Argentina Time is the standard time zone used throughout Argentina, corresponding to UTC−3 without daylight saving time.
  • 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_69bd43d0497c8190ac23c65c5804846a completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd5a2e9780819081add547c760abc9 completed March 20, 2026, 2:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69be39a767d481908cde49a3ca61c3ac completed March 21, 2026, 6:24 a.m.
Created at: March 20, 2026, 1:13 p.m.