Triple

T20020762
Position Surface form Disambiguated ID Type / Status
Subject Portovenere E494849 entity
Predicate hasIslandNearby P19485 FINISHED
Object Tino 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: Tino | Statement: [Portovenere, hasIslandNearby, Tino]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tino
Context triple: [Portovenere, hasIslandNearby, Tino]
  • A. Tino
    Tino is the commonly used nickname of former Major League Baseball first baseman Tino Martinez, best known for his years with the New York Yankees in the late 1990s and early 2000s.
  • B. Tino
    Tino is a professional rugby league footballer known for his powerful forward play in the NRL and for representing Queensland and Australia.
  • C. Tino chosen
    Tino is a small Italian island in the Ligurian Sea, known for its military base, lighthouse, and historic monastery ruins near the Gulf of La Spezia.
  • D. Santino
    Santino is a masculine given name of Italian origin, often associated with the actor and singer Santino Fontana.
  • E. Davo
    Davo is a common informal nickname or short form of the given name David, often used in English-speaking countries.
  • 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_69da626bfd288190aa5d65098b6433ae completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6623fe1988190a1c09d392d866dc8 completed April 20, 2026, 5:28 p.m.
Created at: April 11, 2026, 3:34 p.m.