Triple

T16075676
Position Surface form Disambiguated ID Type / Status
Subject Ay E389973 entity
Predicate nomen P744 FINISHED
Object Ay E389973 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: Ay | Statement: [Ay, nomen, Ay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ay
Context triple: [Ay, nomen, Ay]
  • A. Ay chosen
    Ay was a short-reigning ancient Egyptian pharaoh of the late 18th Dynasty, known for succeeding Tutankhamun and ruling during the turbulent period following the Amarna era.
  • B. Ay
    Ay is a historic French town in the Marne department renowned for its prestigious Champagne houses and vineyards.
  • C. AY
    AY is the IATA airline designator assigned to Finnair, the flag carrier and largest airline of Finland.
  • D. Ayy
    Ayy is a town in Jordan’s Karak region known for its historical significance and proximity to the ancient Crusader stronghold of Karak.
  • E. AYJ
    AYJ is the IATA airport code for Maharishi Valmiki International Airport serving Ayodhya in Uttar Pradesh, India.
  • 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_69d86daf32ec8190a8c0466c8f49c3c0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e183c27aac81909c56d200c0c51a0c completed April 17, 2026, 12:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff798c2a48190b6eccd476a0a396f completed May 10, 2026, 3:12 a.m.
Created at: April 10, 2026, 4:57 a.m.