Triple

T22539321
Position Surface form Disambiguated ID Type / Status
Subject Naunet E557242 entity
Predicate pairedWith P3159 FINISHED
Object Nun 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: Nun | Statement: [Naunet, pairedWith, Nun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nun
Context triple: [Naunet, pairedWith, Nun]
  • A. Nun chosen
    Nun is the primordial watery chaos in ancient Egyptian mythology, representing the formless abyss from which creation first emerged.
  • B. NUN
    NUN is the IATA airport code for Saufley Field, a military airfield near Pensacola, Florida.
  • C. NUN
    NUN is the National Rail station code for Nuneaton railway station in Warwickshire, England.
  • D. Nelle
    Nelle is a feminine given name, often used in English-speaking countries and sometimes as a diminutive of names like Ellen or Helen.
  • E. Nin
    Nin is a historic coastal town in Croatia known for its ancient salt pans, sandy beaches, and archaeological heritage dating back to Roman and early Croatian times.
  • 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_69e11e58662081909ae346ab384514ca completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15f302cd4819098c97ca4fa96363e completed April 29, 2026, 1:30 a.m.
Created at: April 16, 2026, 8:51 p.m.