Triple

T20199928
Position Surface form Disambiguated ID Type / Status
Subject Empoli–Siena railway E493186 entity
Predicate serves P98 FINISHED
Object Castelfiorentino 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: Castelfiorentino | Statement: [Empoli–Siena railway, serves, Castelfiorentino]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Castelfiorentino
Context triple: [Empoli–Siena railway, serves, Castelfiorentino]
  • A. Castelfiorentino chosen
    Castelfiorentino is a historic Tuscan town in central Italy, known for its medieval architecture and location in the Valdelsa area between Florence and Siena.
  • B. Castel Fiorentino
    Castel Fiorentino is a small locality in southern Italy historically noted as the place where Holy Roman Emperor Frederick II died.
  • C. Castelforte
    Castelforte is a small Italian town and comune in the Lazio region, known for its historic hilltop setting and role in World War II battles near the Gustav Line.
  • D. Castelvenere
    Castelvenere is a small Italian municipality in the Campania region, noted for its wine production and rural character.
  • E. Castel del Piano
    Castel del Piano is a historic hill town in southern Tuscany, Italy, known for its medieval architecture and scenic location on the slopes of Mount Amiata.
  • 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_69da6269614c8190bb40475d9d477358 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66d8d01648190b1b3a6e03f0258d8 completed April 20, 2026, 6:16 p.m.
Created at: April 11, 2026, 11:37 p.m.