Triple

T8477408
Position Surface form Disambiguated ID Type / Status
Subject Velitrae E200429 entity
Predicate modernName P1213 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: [Velitrae, modernName, Velletri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Velletri
Context triple: [Velitrae, modernName, 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. Minturno
    Minturno is a historic town in the Lazio region of central Italy, known for its ancient Roman ruins and scenic position near the Tyrrhenian coast.
  • C. Terracina
    Terracina is a historic coastal city in the Lazio region of central Italy, known for its ancient Roman ruins and scenic position on the Tyrrhenian Sea.
  • D. Arpino
    Arpino is a historic town in central Italy, traditionally known as the birthplace of the Roman statesman Cicero.
  • E. 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.
  • 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_69ca831b17988190a1f3f3413d57b820 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe51ffab881908448aff899511f2c completed March 31, 2026, 3:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce88c89a9081908445bbc531f500c9 completed April 2, 2026, 3:18 p.m.
Created at: March 30, 2026, 6:12 p.m.