Triple

T17813946
Position Surface form Disambiguated ID Type / Status
Subject Lamezia Terme E444786 entity
Predicate hasRailwayStation P918 FINISHED
Object Lamezia Terme Centrale 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: Lamezia Terme Centrale | Statement: [Lamezia Terme, hasRailwayStation, Lamezia Terme Centrale]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lamezia Terme Centrale
Context triple: [Lamezia Terme, hasRailwayStation, Lamezia Terme Centrale]
  • A. Lamezia Terme chosen
    Lamezia Terme is a city in the Calabria region of southern Italy, known as a transportation hub and for its proximity to both the Tyrrhenian coast and the Calabrian interior.
  • B. Partinico
    Partinico is a town in the Metropolitan City of Palermo in Sicily, Italy, known for its agricultural production and traditional Sicilian character.
  • C. Avola
    Avola is a coastal town in southeastern Sicily, Italy, known for its wine production—especially Nero d’Avola—and its almonds.
  • D. Montecatini Terme
    Montecatini Terme is an Italian spa town in Tuscany renowned for its historic thermal baths and Belle Époque architecture.
  • E. Calascibetta
    Calascibetta is a historic hilltop town in central Sicily, Italy, known for its medieval architecture and panoramic views over the surrounding countryside.
  • 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_69d8b9f0de78819099395b14db75a8a6 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4887d6828819085face29cb03671b completed April 19, 2026, 7:47 a.m.
Created at: April 10, 2026, 10:14 a.m.