Triple

T2457900
Position Surface form Disambiguated ID Type / Status
Subject Duke of Brittany E54464 entity
Predicate hasLanguage P15 FINISHED
Object Gallo language E153916 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: Gallo language | Statement: [Duke of Brittany, hasLanguage, Gallo language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gallo language
Context triple: [Duke of Brittany, hasLanguage, Gallo language]
  • A. Gallo language chosen
    Gallo language is a regional Romance language of eastern Brittany in France, distinct from both Breton and standard French.
  • B. Galoli language
    The Galoli language is an Austronesian language spoken primarily in East Timor, notable for its role in local communication and cultural identity.
  • C. Serrano language
    The Serrano language is an endangered Uto-Aztecan Native American language traditionally spoken by the Serrano people of Southern California.
  • D. Resígaro language
    Resígaro is an almost extinct indigenous Arawakan language once spoken in parts of the Peruvian and Colombian Amazon.
  • E. Guanche language
    Guanche language was the now-extinct indigenous Berber-related language once spoken by the original inhabitants of the Canary Islands before Spanish colonization.
  • 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_69ab49dee84c819096b50a0049c347ac completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd10860188190bfc4c554914487b4 completed March 7, 2026, 7:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69aef0cd7adc8190b855eb28285fefc5 completed March 9, 2026, 4:09 p.m.
Created at: March 6, 2026, 9:44 p.m.