Triple

T2468174
Position Surface form Disambiguated ID Type / Status
Subject County of Cerdanya E55302 entity
Predicate language P15 FINISHED
Object Latin E5875 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: Latin | Statement: [County of Cerdanya, language, Latin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Latin
Context triple: [County of Cerdanya, language, Latin]
  • A. Latin chosen
    Latin is an ancient Italic language of the Roman Empire that profoundly shaped the vocabulary, grammar, and development of many European languages and scholarly traditions.
  • B. Old Latin
    Old Latin is the early form of the Latin language used in ancient Rome before the Classical period, preserved in archaic inscriptions and early literary texts.
  • C. Classical Latin
    Classical Latin is the standardized form of the Latin language used in ancient Roman literature, oratory, and formal writing during the late Republic and early Empire.
  • D. Vulgar Latin
    Vulgar Latin was the everyday, non-standard form of Latin spoken by common people in the Roman Empire, from which the Romance languages later evolved.
  • E. Late Latin
    Late Latin is the transitional form of the Latin language used from roughly the 3rd to 6th centuries AD, bridging Classical Latin and the later medieval and Romance-language developments.
  • 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_69ab49e3622c8190ad22afa2c4fbb807 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd134684c8190bc62c0af22d75538 completed March 7, 2026, 7:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69af179f90e881909c09edb961b13a75 completed March 9, 2026, 6:55 p.m.
Created at: March 6, 2026, 9:44 p.m.