Triple

T17631202
Position Surface form Disambiguated ID Type / Status
Subject Romance linguistics E429978 entity
Predicate focusesOn P31 FINISHED
Object Vulgar Latin NE NERFINISHED

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: Vulgar Latin | Statement: [Romance linguistics, focusesOn, Vulgar Latin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vulgar Latin
Context triple: [Romance linguistics, focusesOn, Vulgar Latin]
  • A. Vulgar Latin chosen
    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.
  • 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. Llatí
    Llatí is a neighborhood within the municipality of Santa Coloma de Gramenet in the metropolitan area of Barcelona, Catalonia, Spain.
  • D. Latino-Faliscan languages
    Latino-Faliscan languages are a branch of the Italic language family that includes Latin and its closely related ancient languages spoken in central Italy.
  • 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 (2 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_69d889e37f308190a6aa0a69daff86c7 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46dc192dc8190854f1fe5d5ed696a completed April 19, 2026, 5:53 a.m.
Created at: April 10, 2026, 5:52 a.m.