Triple

T17559398
Position Surface form Disambiguated ID Type / Status
Subject Fast Application Notification E427660 entity
Predicate alsoKnownAs P39 FINISHED
Object FAN NE NERFINISHED

How this triple was built (3 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: FAN | Statement: [Fast Application Notification, alsoKnownAs, FAN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FAN
Context triple: [Fast Application Notification, alsoKnownAs, FAN]
  • A. FAN
    FAN is the French acronym for Niger's national military, responsible for the country's defense and security operations.
  • B. FAN
    FAN was a key rebel armed group in Chad that played a major role in the country’s internal conflicts during the late 20th century.
  • C. Fanfan
    Fanfan is a romantic film best known for starring French actress Sophie Marceau.
  • D. FAAN
    FAAN is the government agency responsible for managing and operating commercial airports and related aviation services across Nigeria.
  • E. FAAN
    FAAN is a post-nominal credential signifying election as a Fellow of the American Academy of Neurology, recognizing distinguished contributions to the field of neurology.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: FAN
Target entity description: FAN is an acronym for Fast Application Notification, a system or mechanism designed to quickly deliver alerts or updates from applications.
  • A. FAN
    FAN is the French acronym for Niger's national military, responsible for the country's defense and security operations.
  • B. FAN
    FAN was a key rebel armed group in Chad that played a major role in the country’s internal conflicts during the late 20th century.
  • C. Fanfan
    Fanfan is a romantic film best known for starring French actress Sophie Marceau.
  • D. FAAN
    FAAN is a post-nominal credential signifying election as a Fellow of the American Academy of Neurology, recognizing distinguished contributions to the field of neurology.
  • E. FAAN
    FAAN is the government agency responsible for managing and operating commercial airports and related aviation services across Nigeria.
  • F. None of above. chosen

Provenance (2 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_69d889e0385081908a04b66f4dd4bd0d completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4562573e48190a19f30fe915a5455 completed April 19, 2026, 4:12 a.m.
Created at: April 10, 2026, 5:50 a.m.