Triple

T14269422
Position Surface form Disambiguated ID Type / Status
Subject Ager Gallicus E353738 entity
Predicate languagePreRoman P88155 FINISHED
Object Gaulish LITERAL 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: [Ager Gallicus, languagePreRoman, Gaulish]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: languagePreRoman
Context triple: [Ager Gallicus, languagePreRoman, Gaulish]
  • A. preRomanLanguage chosen
    Indicates that a language existed or was used in a region before the arrival or dominance of Roman rule or the Latin language.
  • B. ancientLanguages
    Indicates that the related entities are languages that originated in and were used during ancient historical periods.
  • C. preRomanName
    Indicates the name by which an entity (such as a place or people) was known before the Roman period or prior to receiving a Roman-era name.
  • D. preRomanContext
    Indicates that something exists, occurs, or is situated in a historical or cultural context prior to the Roman period.
  • E. religionInPreRomanPeriod
    Indicates the religion or belief system practiced in a place or by a group during the period before Roman rule.
  • F. None of above.

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_69d8278d25148190abf1a8c8f5f533ad completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de657fe6708190b41de48c43cff647 completed April 14, 2026, 4:04 p.m.
PD Predicate disambiguation batch_69de2a7d586c8190846ff242bbf5ac53 completed April 14, 2026, 11:52 a.m.
Created at: April 10, 2026, 1:10 a.m.