Triple

T700355
Position Surface form Disambiguated ID Type / Status
Subject French E13984 entity
Predicate follows P134 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: [French, follows, Latin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Latin
Context triple: [French, follows, 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. 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. Etruscan language
    The Etruscan language was an ancient non-Indo-European language spoken by the Etruscan civilization in central Italy, known primarily from inscriptions and having a significant influence on early Roman culture and Latin.
  • D. Medieval Latin
    Medieval Latin is the form of the Latin language used in Europe roughly from the 5th to the 15th century, serving as the primary written and scholarly language of the medieval Christian world.
  • E. Greek (Il Greco)
    Greek (Il Greco) is a character in the 1974 Italian crime film "The Truce," likely depicted as a figure involved in the movie’s underworld conflicts.
  • 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_69a493406c408190957eeec9048a8fb6 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a52fdb888190ad0e48fb3cf4dc3d completed March 1, 2026, 8:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5dca9aa9c8190a113e782988aa7f8 completed March 2, 2026, 6:53 p.m.
Created at: March 1, 2026, 7:36 p.m.