Triple

T13631090
Position Surface form Disambiguated ID Type / Status
Subject Egun E325718 entity
Predicate language P15 FINISHED
Object Gun language E617305 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: Gun language | Statement: [Egun, language, Gun language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gun language
Context triple: [Egun, language, Gun language]
  • A. Gun language chosen
    Gun is a Gbe language of the Niger-Congo family spoken primarily in Benin and neighboring regions of West Africa.
  • B. Gunning
    Gunning is a small rural town in New South Wales, Australia, known for its historic buildings and pastoral surroundings.
  • C. Gunning
    Gunning is a masculine given name historically borne by figures such as American lawyer and politician Gunning Bedford Sr.
  • D. Gun
    "Gun" is a heavy, riff-driven rock track by Soundgarden from their 1989 album *Louder Than Love*.
  • E. Gun
    Gun is a Scottish surname most prominently linked to Clan Gunn, a historic Highland clan from Caithness and Sutherland.
  • 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_69d8076beddc8190a53156f5bea77f5e completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbbe9ea9088190a17270dec82bbcaa completed April 12, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f77fab07648190b3b3362a8ffa8961 completed May 3, 2026, 5:02 p.m.
Created at: April 9, 2026, 9:51 p.m.