Triple

T126398
Position Surface form Disambiguated ID Type / Status
Subject Vulgar Latin E2560 entity
Predicate alternativeName P39 FINISHED
Object Sermo Vulgaris Latinus E13982 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: Sermo Vulgaris Latinus | Statement: [Vulgar Latin, alternativeName, Sermo Vulgaris Latinus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sermo Vulgaris Latinus
Context triple: [Vulgar Latin, alternativeName, Sermo Vulgaris Latinus]
  • A. Sermo Vulgaris chosen
    Sermo Vulgaris is the informal, everyday spoken form of Latin from which the Romance languages evolved.
  • B. 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.
  • C. Vulgate
    The Vulgate is the late-4th-century Latin version of the Bible, traditionally attributed to St. Jerome, that became the Catholic Church’s standard biblical text for many centuries.
  • D. Late Latin Iacomus
    Late Latin Iacomus is a medieval Latin given name that evolved into various European forms such as James, Jacques, and Giacomo.
  • E. Latin
    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.
  • 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_69a251b54ea88190b18281669f59b4c0 completed Feb. 28, 2026, 2:23 a.m.
NER Named-entity recognition batch_69a25760af348190bf402089c240887d completed Feb. 28, 2026, 2:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2a3d5c7bc8190ba8b36db41a1a57f completed Feb. 28, 2026, 8:14 a.m.
Created at: Feb. 28, 2026, 2:27 a.m.