Triple

T6020557
Position Surface form Disambiguated ID Type / Status
Subject Uruzgan Province E134050 entity
Predicate countryCode P208 FINISHED
Object AF E54476 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: AF | Statement: [Uruzgan Province, countryCode, AF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AF
Context triple: [Uruzgan Province, countryCode, AF]
  • A. AF chosen
    AF is the two-letter ISO 3166-1 alpha-2 country code assigned to Afghanistan for international standardization and referencing.
  • B. AF
    AF is the two-letter IATA airline designator assigned to Air France, the flag carrier of France.
  • C. AAF
    AAF is the common abbreviation for the Alliance of American Football, a short-lived professional American football league that operated in 2019.
  • D. FA
    FA is the governing body of association football in England, responsible for overseeing the national teams, competitions, and the rules of the game within the country.
  • E. FA
    FA is a Chilean left-wing political coalition known for uniting various progressive parties and movements to challenge the country’s traditional political blocs.
  • 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_69c008742a5c8190b9cb9c2787a3d8b3 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04fba86a48190984e95d5adf7c7f1 completed March 22, 2026, 8:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c108be2170819084b4b940e52b0185 completed March 23, 2026, 9:32 a.m.
Created at: March 22, 2026, 4:07 p.m.