Triple

T2248367
Position Surface form Disambiguated ID Type / Status
Subject Charlestown, Nevis E49558 entity
Predicate capitalOf P204 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: [Charlestown, Nevis, capitalOf, Nevis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nevis
Context triple: [Charlestown, Nevis, capitalOf, 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. 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.
  • E. Margherita Peak
    Margherita Peak is a prominent mountain summit in the Rwenzori Range of East Africa, renowned for its glaciated terrain and status as one of the continent’s highest points.
  • 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_69a88aa979788190ad6500f1d8eee2fc completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc0ed5c38819080b45ea398fb59f2 completed March 7, 2026, 6:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae7f0361d08190922d21c89d32c869 completed March 9, 2026, 8:04 a.m.
Created at: March 4, 2026, 7:47 p.m.