Triple

T4364355
Position Surface form Disambiguated ID Type / Status
Subject Premier of Nevis E98736 entity
Predicate appliesToJurisdiction P82 FINISHED
Object Nevis E16514 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: Nevis | Statement: [Premier of Nevis, appliesToJurisdiction, Nevis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nevis
Context triple: [Premier of Nevis, appliesToJurisdiction, Nevis]
  • A. Nevis chosen
    Nevis is a small volcanic island in the Caribbean known for its lush landscapes, historic plantations, and tranquil beaches.
  • B. Nevis Range
    Nevis Range is a Scottish mountain resort near Fort William, known for its skiing, mountain biking, and access to the slopes of Aonach Mòr.
  • C. Mount Carlo
    Mount Carlo is a lesser-known peak in the rugged Mahoosuc Range of the northern Appalachian Mountains in New England.
  • D. Meru
    Meru is a town in eastern Kenya that serves as a commercial and administrative hub for the surrounding agricultural region near Mount Kenya.
  • E. Piton des Neiges
    Piton des Neiges is a massive extinct shield volcano on Réunion Island and a popular hiking destination known for its panoramic summit views.
  • 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_69b3454c772081908e20173e379e8ebe completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b351fea3e88190807b99868982c491 completed March 12, 2026, 11:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5dbc925d881909fac944bc7ce5407 completed March 14, 2026, 10:06 p.m.
Created at: March 12, 2026, 11:16 p.m.