Triple

T1177833
Position Surface form Disambiguated ID Type / Status
Subject Atlantic Time Zone E25068 entity
Predicate isUsedInCountry P715 FINISHED
Object Grenada E14089 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: Grenada | Statement: [Atlantic Time Zone, isUsedInCountry, Grenada]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grenada
Context triple: [Atlantic Time Zone, isUsedInCountry, Grenada]
  • A. Grenada chosen
    Grenada is a small Caribbean island nation known for its spice production, picturesque beaches, and lush mountainous interior.
  • B. Saint Vincent and the Grenadines
    Saint Vincent and the Grenadines is a small Caribbean island nation known for its volcanic main island, numerous smaller Grenadine islands, and tourism centered on sailing and beaches.
  • C. Dominica
    Dominica is a small island nation in the Caribbean known for its lush rainforests, volcanic landscapes, and rich biodiversity.
  • D. Saint Lucia
    Saint Lucia is a small Caribbean island nation known for its dramatic Piton mountains, lush rainforests, and popular beach resorts.
  • E. Barbados
    Barbados is an island country in the Caribbean known for its beaches, coral reefs, and status as a popular tourist destination.
  • 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_69a494267b4c819088c97a59182bf56a completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bd10ccc481908d5bcef648aab3c1 completed March 1, 2026, 10:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4cdaf3ea08190b2663866c984b203 completed March 14, 2026, 2:53 a.m.
Created at: March 1, 2026, 7:45 p.m.