Triple

T11342902
Position Surface form Disambiguated ID Type / Status
Subject AFN E268643 entity
Predicate legalTenderIn P188 FINISHED
Object Afghanistan E9744 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: Afghanistan | Statement: [AFN, legalTenderIn, Afghanistan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Afghanistan
Context triple: [AFN, legalTenderIn, Afghanistan]
  • A. Afghanistan chosen
    Afghanistan is a landlocked, mountainous country in South-Central Asia known for its strategic location at the crossroads of empires and its long history of conflict and cultural diversity.
  • B. Democratic Republic of Afghanistan
    The Democratic Republic of Afghanistan was a Soviet-aligned communist state that ruled Afghanistan from 1978 to 1992, marked by internal conflict, radical reforms, and its central role in the Soviet–Afghan War.
  • C. Afghanistan and Pakistan
    Afghanistan and Pakistan are neighboring countries in South and Central Asia that share a long, strategically important and often volatile border region.
  • D. Pashtunistan
    Pashtunistan is a historical and cultural region inhabited predominantly by Pashtun people, spanning areas across modern-day Afghanistan and Pakistan.
  • E. AFG
    AFG is the stock ticker symbol for American Financial Group, a U.S.-based insurance and financial services holding company.
  • 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_69d6aacb1f0881908c84a349fd1be047 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea1e360c8190a02d1e2d1d6f4b5d completed April 9, 2026, 6:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69e58b7033448190b848ccd3712c0b0e completed April 20, 2026, 2:12 a.m.
Created at: April 8, 2026, 9:33 p.m.