Triple

T9146799
Position Surface form Disambiguated ID Type / Status
Subject Claudio Ranieri E219476 entity
Predicate managedClub P3239 FINISHED
Object Cagliari E80741 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: Cagliari | Statement: [Claudio Ranieri, managedClub, Cagliari]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cagliari
Context triple: [Claudio Ranieri, managedClub, Cagliari]
  • A. Cagliari chosen
    Cagliari is the capital city of the Italian island of Sardinia, known for its historic architecture, Mediterranean harbor, and role as a key political and cultural center in the region.
  • B. Sassari
    Sassari is a major city and provincial capital in northern Sardinia, Italy, known for its historic center, university, and cultural traditions.
  • C. Alghero
    Alghero is a coastal city in northwestern Sardinia, Italy, known for its well-preserved medieval old town, strong Catalan cultural and linguistic heritage, and popular seaside tourism.
  • D. Livorno
    Livorno is a port city on Italy’s western coast, historically notable for its diverse communities and significant Jewish population.
  • E. Messina
    Messina is a major port city in northeastern Sicily, Italy, located on the Strait of Messina opposite mainland Calabria.
  • 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_69ca83e121dc81909912bd66953081c5 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca918a3c881909c34a6a682eb2625 completed April 1, 2026, 5:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d065c6fcc081908298dd12477c2345 completed April 4, 2026, 1:13 a.m.
Created at: March 30, 2026, 7:20 p.m.