Triple

T20584753
Position Surface form Disambiguated ID Type / Status
Subject Angiolo Mazzoni E505754 entity
Predicate notableWork P4 FINISHED
Object Siena railway station NE NERFINISHED

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: Siena railway station | Statement: [Angiolo Mazzoni, notableWork, Siena railway station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Siena railway station
Context triple: [Angiolo Mazzoni, notableWork, Siena railway station]
  • A. Siena railway station chosen
    Siena railway station is the main train station serving the city of Siena in Tuscany, Italy, providing regional rail connections to surrounding cities and towns.
  • B. Pistoia railway station
    Pistoia railway station is the main rail hub serving the city of Pistoia in Tuscany, Italy, providing regional and intercity train connections.
  • C. Rieti railway station
    Rieti railway station is the main rail transport hub serving the town of Rieti in the Lazio region of central Italy.
  • D. Sansepolcro railway station
    Sansepolcro railway station is a regional train station in the town of Sansepolcro, Italy, serving as a local transport hub for passengers traveling within Tuscany and to nearby areas.
  • E. Porta Susa railway station
    Porta Susa railway station is a major railway hub in Turin, Italy, serving high-speed, regional, and international train services.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4b9669c8190b8e81fc72817d42c completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a975f098819083700593a9fa6cd0 completed April 20, 2026, 10:32 p.m.
Created at: April 16, 2026, 11:40 a.m.