Triple

T16284423
Position Surface form Disambiguated ID Type / Status
Subject Yulia E395351 entity
Predicate hasVariant P455 FINISHED
Object Iulia E395352 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: Iulia | Statement: [Yulia, hasVariant, Iulia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Iulia
Context triple: [Yulia, hasVariant, Iulia]
  • A. Iulia chosen
    Iulia is a Latin given name, historically used in ancient Rome and closely associated with the feminine form of the name Julius.
  • B. Julia Livilla
    Julia Livilla was a Roman imperial princess of the Julio-Claudian dynasty, known as the sister of Emperor Caligula and for her involvement in the turbulent politics of the early Roman Empire.
  • C. Iulia Concordia
    Iulia Concordia was an ancient Roman town in northern Italy, now known as Concordia Sagittaria, notable for its strategic location and archaeological remains.
  • D. Pompeia
    Pompeia was the name of an ancient Roman plebeian family (gens Pompeia) that produced several notable political and military figures during the Republic and early Empire.
  • E. Pompeia
    Pompeia was a Roman noblewoman best known as the second wife of Julius Caesar and for the scandal surrounding the Bona Dea festival that led to their divorce.
  • 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_69d87f22c7248190a54c949738441e2e completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e24912c5808190a0d9c9f491315068 completed April 17, 2026, 2:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a001f93240881909d0beaddc92f0ad5 completed May 10, 2026, 6:02 a.m.
Created at: April 10, 2026, 5:05 a.m.