Triple

T2809214
Position Surface form Disambiguated ID Type / Status
Subject Gianluigi Buffon E54126 entity
Predicate placeOfBirth P1 FINISHED
Object Carrara E151864 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: Carrara | Statement: [Gianluigi Buffon, placeOfBirth, Carrara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carrara
Context triple: [Gianluigi Buffon, placeOfBirth, Carrara]
  • A. Carrara chosen
    Carrara is an Italian city renowned worldwide for its high-quality white marble quarries and sculpture tradition.
  • B. Cortona
    Cortona is an ancient hilltop town in Tuscany, Italy, historically significant as one of the principal cities of the Etruscan civilization.
  • C. Nocera Umbra
    Nocera Umbra is a historic hill town in the Umbria region of central Italy, known for its medieval architecture and mineral springs.
  • D. Pisae
    Pisae is the ancient Roman name for the city of Pisa in Tuscany, Italy, historically significant as a coastal settlement and later a prominent maritime republic.
  • E. Castrocaro Terme e Terra del Sole
    Castrocaro Terme e Terra del Sole is a small Italian municipality in Emilia-Romagna known for its historic spa town and well-preserved Renaissance fortress town.
  • 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_69ab49dcee188190b5c6eca9ae9e3469 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abde3165b48190a43be5e6ad23deca completed March 7, 2026, 8:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69afce97c3008190a966441d719d1d1c completed March 10, 2026, 7:56 a.m.
Created at: March 6, 2026, 9:59 p.m.