Triple

T1143545
Position Surface form Disambiguated ID Type / Status
Subject Arausio E23510 entity
Predicate languageContext P36 FINISHED
Object Gaulish E26848 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: Gaulish | Statement: [Arausio, languageContext, Gaulish]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gaulish
Context triple: [Arausio, languageContext, Gaulish]
  • A. Gaulish chosen
    Gaulish was an ancient Celtic language once spoken in much of Western and Central Europe, particularly in the region corresponding to modern-day France and surrounding areas.
  • B. Gaul
    Gaul was a large region of Western Europe in antiquity, encompassing much of present-day France and neighboring areas, inhabited primarily by Celtic tribes before Roman conquest.
  • C. Celtiberian
    Celtiberian was an ancient Celtic language once spoken by the Celtiberian peoples of the central Iberian Peninsula.
  • D. Breton
    Breton is a Celtic language spoken primarily in Brittany, France, known for its close relation to Cornish and Welsh.
  • E. Continental Celtic languages
    Continental Celtic languages are the now-extinct Celtic languages once spoken on the European mainland, such as Gaulish and Celtiberian, known primarily from inscriptions and classical sources.
  • 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_69a493ef399c8190b04b9146d2314f59 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4bc4e93d48190b9fea886bf61aad7 completed March 1, 2026, 10:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac59b2395c81909d4608bdaf1d57e8 completed March 7, 2026, 5 p.m.
Created at: March 1, 2026, 7:44 p.m.