Triple

T1781185
Position Surface form Disambiguated ID Type / Status
Subject Lydian E39294 entity
Predicate region P40 FINISHED
Object Lydia E95370 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: Lydia | Statement: [Lydian, region, Lydia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lydia
Context triple: [Lydian, region, Lydia]
  • A. Lydia
    Lydia is a woman mentioned in the New Testament book of Acts, known as a dealer in purple cloth from Thyatira and one of the first recorded converts to Christianity in Europe.
  • B. Lydia chosen
    Lydia was an ancient Iron Age kingdom in western Anatolia, renowned for its wealth, early coinage, and powerful kings such as Croesus.
  • C. Lucilla
    Lucilla was a Roman imperial princess and daughter of Emperor Marcus Aurelius who became Empress as the wife of Lucius Verus and was later implicated in a plot against her brother Commodus.
  • D. Corinna
    Corinna was an ancient Greek lyric poet from Boeotia, renowned for her choral poetry composed in the Aeolic dialect.
  • E. Eunice
    Eunice is a feminine given name of Greek origin, commonly associated with women in English-speaking countries.
  • 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_69a88630519c8190a17addd83c4a3ef4 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa64e22d6881909ba6ec120b320918 completed March 6, 2026, 5:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69adbf52266081909b7478d76664d387 completed March 8, 2026, 6:26 p.m.
Created at: March 4, 2026, 7:31 p.m.