Triple

T1744068
Position Surface form Disambiguated ID Type / Status
Subject Gaius Octavius E38297 entity
Predicate placeOfBirth P1 FINISHED
Object Velletri E152105 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: Velletri | Statement: [Gaius Octavius, placeOfBirth, Velletri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Velletri
Context triple: [Gaius Octavius, placeOfBirth, Velletri]
  • A. Velletri chosen
    Velletri is a historic town in the Lazio region of central Italy, known for its ancient Roman roots, wine production, and location in the Alban Hills southeast of Rome.
  • B. Carpineto Romano
    Carpineto Romano is a historic hill town in the Lazio region of central Italy, best known as the birthplace of Pope Leo XIII.
  • C. Pollica
    Pollica is a small coastal town in Italy’s Campania region, known for its traditional Mediterranean lifestyle and cuisine.
  • D. Ostia
    Ostia was the principal harbor city of ancient Rome, serving as a major commercial and military port at the mouth of the Tiber River.
  • E. Melfi
    Melfi is a historic town in southern Italy known as an important medieval center of Norman rule and site of several papal councils.
  • 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_69a8862b01a48190ab47209063af82d9 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa63e804848190a19c10f4e609e900 completed March 6, 2026, 5:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69adc99a3e908190b64f70cf7ab83ed3 completed March 8, 2026, 7:10 p.m.
Created at: March 4, 2026, 7:31 p.m.