Triple

T22177667
Position Surface form Disambiguated ID Type / Status
Subject The Heads E548089 entity
Predicate isNear P350 FINISHED
Object Sorrento 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: Sorrento | Statement: [The Heads, isNear, Sorrento]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sorrento
Context triple: [The Heads, isNear, Sorrento]
  • A. Sorrento chosen
    Sorrento is a residential suburb on the Gold Coast in Queensland, Australia, known for its canal-front homes along the Nerang River.
  • B. Sorrento
    Sorrento is a picturesque coastal town in southern Italy overlooking the Bay of Naples, renowned for its dramatic cliffs, lemon groves, and role as a historic retreat for writers and artists.
  • C. Sorrent
    Sorrent was a mobile game developer and publisher that later became known as Glu Mobile.
  • D. Amalfi
    Amalfi is a historic coastal town in southern Italy’s Campania region, famed as a former powerful maritime republic and now a popular tourist destination on the Amalfi Coast.
  • E. Bricherasio
    Bricherasio is a small municipality in the Piedmont region of northwestern Italy, known for its rural landscape and proximity to the Alps.
  • 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_69e11e3d53f88190a2b690e3f25bb062 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12a6d03488190b29872ff3f436237 completed April 28, 2026, 9:45 p.m.
Created at: April 16, 2026, 8:34 p.m.