Triple

T16493071
Position Surface form Disambiguated ID Type / Status
Subject Tom W. Bonner Prize in Nuclear Physics E400612 entity
Predicate presentedBy P83 FINISHED
Object APS E130700 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: APS | Statement: [Tom W. Bonner Prize in Nuclear Physics, presentedBy, APS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: APS
Context triple: [Tom W. Bonner Prize in Nuclear Physics, presentedBy, APS]
  • A. APS
    APS is the collective term for the federal civil service workforce that supports the Australian Government in developing and implementing national policies and delivering public services.
  • B. APS chosen
    APS (American Physical Society) is a leading professional organization dedicated to advancing and disseminating knowledge of physics through research publications, conferences, education, and advocacy.
  • C. APS
    APS is an organization known for presenting the MGM Award, likely within a professional or academic field.
  • D. APS
    APS is the IATA airport code for Anápolis Air Base, a Brazilian Air Force installation located near Anápolis in the state of Goiás, Brazil.
  • E. APAS
    APAS is a type of androgynous docking mechanism developed for spacecraft to enable compatible, flexible docking between different vehicles.
  • 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_69d883813098819084f5409539723b59 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32e30cb648190a52cb32896c4ac5a completed April 18, 2026, 7:09 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0058266b8c8190adc0974025553783 completed May 10, 2026, 10:04 a.m.
Created at: April 10, 2026, 5:13 a.m.