Triple

T18300781
Position Surface form Disambiguated ID Type / Status
Subject Farama Foundation E438351 entity
Predicate product P490 FINISHED
Object Farama-Notifications 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: Farama-Notifications | Statement: [Farama Foundation, product, Farama-Notifications]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Farama-Notifications
Context triple: [Farama Foundation, product, Farama-Notifications]
  • A. FAMO
    FAMO was a German vehicle manufacturer best known for producing military half-tracks and armored vehicles for the Wehrmacht during World War II.
  • B. FAY
    FAY is the three-letter FAA airport code for Fayetteville Regional Airport serving Fayetteville, North Carolina.
  • C. FAM
    FAM is the national governing body responsible for overseeing and developing football in Malaysia.
  • D. FAM
    FAM is the acronym commonly used to refer to the Mexican Air Force, the aerial warfare branch of Mexico’s armed forces.
  • E. FAKM
    FAKM is the ICAO airport code assigned to Kimberley Airport in South Africa.
  • 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: Farama-Notifications
Target entity description: Farama-Notifications is a tool or service from the Farama Foundation designed to deliver updates and alerts related to its reinforcement learning ecosystems and projects.
  • A. FAMO
    FAMO was a German vehicle manufacturer best known for producing military half-tracks and armored vehicles for the Wehrmacht during World War II.
  • B. FAY
    FAY is the three-letter FAA airport code for Fayetteville Regional Airport serving Fayetteville, North Carolina.
  • C. FAM
    FAM is the national governing body responsible for overseeing and developing football in Malaysia.
  • D. FAM
    FAM is the acronym commonly used to refer to the Mexican Air Force, the aerial warfare branch of Mexico’s armed forces.
  • E. FAKM
    FAKM is the ICAO airport code assigned to Kimberley Airport in South Africa.
  • 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_69d8b915e3e881909125d760c15d0c29 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e5017f63dc819083a675d570620f2f completed April 19, 2026, 4:23 p.m.
Created at: April 10, 2026, 10:35 a.m.