Triple

T22382129
Position Surface form Disambiguated ID Type / Status
Subject U(1) E553299 entity
Predicate isGaugeGroupOf P5369 FINISHED
Object QED 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: QED | Statement: [U(1), isGaugeGroupOf, QED]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: QED
Context triple: [U(1), isGaugeGroupOf, QED]
  • A. QNED
    QNED is LG’s premium TV display technology that combines quantum dot and NanoCell color enhancement with Mini LED backlighting for improved brightness, contrast, and color accuracy.
  • B. Q.E.D.
    Q.E.D. is a 1903 novel by Gertrude Stein, notable as one of the earliest American works of lesbian fiction, based on her own romantic experiences.
  • C. QED International
    QED International is an independent film production and financing company known for backing a range of commercially oriented feature films.
  • D. Kwanten
    Kwanten is a Dutch-origin surname most notably borne by Australian actor Ryan Kwanten.
  • E. quantum electrodynamics chosen
    Quantum electrodynamics is the quantum field theory that describes how light and matter interact through the exchange of photons, forming the foundation of our understanding of electromagnetic forces at the subatomic level.
  • 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_69e11e4c03248190a26a5060ea6973ee completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1582cce608190b5324b30f349a3ff completed April 29, 2026, 1 a.m.
Created at: April 16, 2026, 8:45 p.m.