Triple

T11952084
Position Surface form Disambiguated ID Type / Status
Subject Lucius E284449 entity
Predicate hasFeminineForm P1613 FINISHED
Object Lucia E219616 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: Lucia | Statement: [Lucius, hasFeminineForm, Lucia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lucia
Context triple: [Lucius, hasFeminineForm, Lucia]
  • A. Lucia chosen
    Lucia is a feminine given name of Latin origin, commonly associated with light and used in various European cultures.
  • B. Luciana
    Luciana is a feminine given name of Latin origin, commonly used in Spanish- and Portuguese-speaking countries.
  • C. Valeria
    Valeria was a late Roman province in the region of Pannonia, located in what is now western Hungary and parts of neighboring countries.
  • D. Valeria
    Valeria is the honorific epithet associated with the ancient Roman legion Legio XX Valeria Victrix, reflecting its distinguished status and achievements.
  • E. Valeria
    Valeria is a feminine given name used in various languages, derived from the Latin family name Valerius and associated with meanings related to strength and valor.
  • 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_69d6ab2db38c8190b1f0ed6663ef8ada completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d90364c2608190a3946c9595c71164 completed April 10, 2026, 2:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69f4590584608190bc00840c43f115a0 completed May 1, 2026, 7:40 a.m.
Created at: April 8, 2026, 9:45 p.m.