Triple

T22692933
Position Surface form Disambiguated ID Type / Status
Subject FIREFISH E561096 entity
Predicate developedWith P12687 FINISHED
Object SMA Foundation NE NERFINISHED

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: SMA Foundation | Statement: [FIREFISH, developedWith, SMA Foundation]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SMA Foundation
Context triple: [FIREFISH, developedWith, SMA Foundation]
  • A. SMA Foundation chosen
    The SMA Foundation is a nonprofit organization dedicated to accelerating the development of treatments for spinal muscular atrophy through funding and collaborative research.
  • B. Samueli Foundation
    The Samueli Foundation is a philanthropic organization that supports education, health, and community initiatives, particularly in science, technology, engineering, and mathematics.
  • C. SMA
    SMA is the commonly used abbreviation for the Swedish Maritime Administration, the government agency responsible for maritime safety, navigation services, and fairway management in Sweden.
  • D. SMA
    SMA is the IATA airport code for the main airport serving Santa Maria Island in the Azores, Portugal.
  • E. SMA
    SMA is the commonly used abbreviation for the Swedish Migration Agency, the government authority responsible for handling immigration and asylum matters in Sweden.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69e2454d71b48190a1f80af9f82b6fcf completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1789ba0148190891781d05ec64f3c completed April 29, 2026, 3:18 a.m.
Created at: April 17, 2026, 3:13 p.m.