Triple

T1357249
Position Surface form Disambiguated ID Type / Status
Subject Arawakan languages E29016 entity
Predicate country P26 FINISHED
Object Haiti E4291 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: Haiti | Statement: [Arawakan languages, country, Haiti]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Haiti
Context triple: [Arawakan languages, country, Haiti]
  • A. Haiti chosen
    Haiti is a Caribbean nation on the island of Hispaniola known for its rich Afro-Caribbean culture, history as the first independent Black republic, and frequent vulnerability to natural disasters.
  • B. Dominican Republic
    The Dominican Republic is a Caribbean nation on the island of Hispaniola known for its beaches, mountainous interior, and vibrant blend of Spanish, African, and Taíno cultural influences.
  • C. Grenada
    Grenada is a small Caribbean island nation known for its spice production, picturesque beaches, and lush mountainous interior.
  • D. Dominica
    Dominica is a small island nation in the Caribbean known for its lush rainforests, volcanic landscapes, and rich biodiversity.
  • E. Jacmel, Haiti
    Jacmel, Haiti is a historic coastal city in southern Haiti known for its well-preserved French colonial architecture, vibrant arts scene, and annual Carnival celebrations.
  • 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_69a498d77abc8190913bf57e5f51d2c4 completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c28db5048190a279ee9882caaeaf completed March 1, 2026, 10:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69af5ca0ede48190b2c45761a3f92517 completed March 9, 2026, 11:49 p.m.
Created at: March 1, 2026, 7:56 p.m.