Triple

T6615860
Position Surface form Disambiguated ID Type / Status
Subject Roman Castles area E149348 entity
Predicate hasPart P35 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: [Roman Castles area, hasPart, Velletri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Velletri
Context triple: [Roman Castles area, hasPart, 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. 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.
  • E. Marzano di Nola
    Marzano di Nola is a small municipality in the province of Avellino in Italy’s Campania region, known for its rural character and proximity to other Irpinian hill towns.
  • 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_69c687ebc680819094caf71faba2efe2 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6af57fd748190bb64f1965bab319f completed March 27, 2026, 4:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c71a62bf8c8190b4b24b543e9095fa completed March 28, 2026, 12:01 a.m.
Created at: March 27, 2026, 1:57 p.m.