Triple

T22037568
Position Surface form Disambiguated ID Type / Status
Subject Shyne Coldchain II E544249 entity
Predicate hasTrack P3284 FINISHED
Object Nate 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: Nate | Statement: [Shyne Coldchain II, hasTrack, Nate]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nate
Context triple: [Shyne Coldchain II, hasTrack, Nate]
  • A. Nate
    Nate is a common diminutive form of the given name Nathaniel, often used as a casual or familiar nickname.
  • B. Nate
    Nate is a central fictional character in Margaret Atwood’s novel "Life Before Man," around whom much of the story’s emotional and relational tension revolves.
  • C. Nate
    Nate is the Allied reporting name for the Nakajima Ki-27, a Japanese single-engine fighter aircraft used extensively by the Imperial Japanese Army Air Service in the late 1930s and early World War II.
  • D. Nate
    Nate is a South Korean web portal and online service platform operated by SK Communications, offering search, email, news, and various internet services.
  • E. Nathan
    Nathan is a prophet in the Hebrew Bible known for advising King David and courageously confronting him over his sin with Bathsheba.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69e11e2f98c8819083e11eab90942a78 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127f32edc81909b6898af6621f56f completed April 28, 2026, 9:34 p.m.
Created at: April 16, 2026, 8:25 p.m.