Triple

T19615659
Position Surface form Disambiguated ID Type / Status
Subject Genoa Metro Line 1 E470852 entity
Predicate station P726 FINISHED
Object Brignole 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: Brignole | Statement: [Genoa Metro Line 1, station, Brignole]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brignole
Context triple: [Genoa Metro Line 1, station, Brignole]
  • A. Genova Brignole chosen
    Genova Brignole is one of the main railway stations in Genoa, Italy, serving as a major regional and long-distance transport hub.
  • B. Brignoles
    Brignoles is a historic town in southeastern France’s Var department, known for its medieval center and former role as a residence of the Counts of Provence.
  • C. Provenza
    "Provenza" is a hit reggaeton song by Colombian singer Karol G known for its tropical sound and themes of empowerment and romantic liberation.
  • D. Canens
    Canens is a nymph from Roman mythology, renowned as the personification of song and the faithful wife of King Picus.
  • E. Aosta
    Aosta is a historic town in northwestern Italy known as the capital of the Aosta Valley region and for its well-preserved Roman and medieval architecture.
  • 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_69d8e510fa248190b7afb274a1d4cf73 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e640cf418081909d69d5bd9c479fed completed April 20, 2026, 3:05 p.m.
Created at: April 10, 2026, 1:43 p.m.