Triple

T2850611
Position Surface form Disambiguated ID Type / Status
Subject Europe and North America E63081 entity
Predicate containsWorldHeritageSiteIn P2499 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: [Europe and North America, containsWorldHeritageSiteIn, Grenada]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grenada
Context triple: [Europe and North America, containsWorldHeritageSiteIn, 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_69ab4c407c408190857d25e027155ce9 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abe08ae5048190a0a3b573d9a5fdbc completed March 7, 2026, 8:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69b636ee2ed88190b37c7f6027d7623b completed March 15, 2026, 4:34 a.m.
Created at: March 6, 2026, 10:02 p.m.