Triple

T9146809
Position Surface form Disambiguated ID Type / Status
Subject Claudio Ranieri E219476 entity
Predicate managedClub P3239 FINISHED
Object AS Monaco E384808 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: AS Monaco | Statement: [Claudio Ranieri, managedClub, AS Monaco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AS Monaco
Context triple: [Claudio Ranieri, managedClub, AS Monaco]
  • A. AS Monaco chosen
    AS Monaco is a prominent football club based in the Principality of Monaco, known for competing in France's top division and developing numerous world-class players.
  • B. Monaco
    Monaco is a small sovereign city-state on the French Riviera known for its wealth, luxury tourism, and status as a major tax haven and gambling hub.
  • C. Monte Carlo, Monaco
    Monte Carlo, Monaco is a luxurious Mediterranean district famed for its casinos, upscale resorts, and status as a playground for the wealthy and international elite.
  • D. San Marino
    San Marino is a small, landlocked microstate surrounded by Italy, known as one of the world’s oldest republics and a popular tourist destination.
  • E. San Marino
    San Marino is a small, affluent residential city in Los Angeles County, California, known for its high-ranking schools and the Huntington Library, Art Museum, and Botanical Gardens.
  • 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_69d0482995cc81909bfc202cbab7f8a1 completed April 3, 2026, 11:07 p.m.
Created at: March 30, 2026, 7:20 p.m.