Triple

T9146800
Position Surface form Disambiguated ID Type / Status
Subject Claudio Ranieri E219476 entity
Predicate managedClub P3239 FINISHED
Object Napoli E14805 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: Napoli | Statement: [Claudio Ranieri, managedClub, Napoli]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Napoli
Context triple: [Claudio Ranieri, managedClub, Napoli]
  • A. Nápoles
    Nápoles is a middle- to upper-class residential and commercial neighborhood in Mexico City, known for its modern architecture, the World Trade Center complex, and a mix of offices, restaurants, and apartment buildings.
  • B. Neapoli
    Neapoli is a small town in eastern Crete, Greece, known for its traditional architecture and role as a local administrative and cultural center.
  • C. Naples chosen
    Naples is a historic coastal city in southern Italy renowned for its rich cultural heritage, vibrant street life, and as the birthplace of pizza.
  • D. Naples
    Naples is the first-generation AMD EPYC server processor family based on the Zen microarchitecture, designed for high-core-count, data center, and enterprise workloads.
  • E. Civitavecchia
    Civitavecchia is a major Italian port city in the Lazio region that serves as the principal maritime gateway to Rome on the Tyrrhenian coast.
  • 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_69d07761b32c81909b57c872485a3591 completed April 4, 2026, 2:28 a.m.
Created at: March 30, 2026, 7:20 p.m.