Triple

T7274039
Position Surface form Disambiguated ID Type / Status
Subject Boa Vista Creole E162978 entity
Predicate closelyRelatedTo P37 FINISHED
Object Sal Creole E155067 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: Sal Creole | Statement: [Boa Vista Creole, closelyRelatedTo, Sal Creole]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sal Creole
Context triple: [Boa Vista Creole, closelyRelatedTo, Sal Creole]
  • A. Sal Creole chosen
    Sal Creole is a regional variety of Cape Verdean Creole spoken primarily on the island of Sal in Cape Verde.
  • B. Long John
    Long John is a prominent tall church tower in the Dutch city of Middelburg, known as a historic landmark and former part of the Abbey of Middelburg.
  • C. Dr. John
    Dr. John was an American singer, songwriter, and pianist known for his distinctive blend of New Orleans R&B, funk, and psychedelic rock.
  • D. Maceo
    Maceo is a Spanish-origin surname notably associated with Cuban independence leader Antonio Maceo.
  • E. Beau Vallon
    Beau Vallon is a popular coastal district and beach resort area on the island of Mahé in Seychelles, known for its wide sandy bay, clear waters, and tourism infrastructure.
  • 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_69c6885c5964819085b209701769877f completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6eb0de9f48190807dd148758bad62 completed March 27, 2026, 8:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7db2936dc8190aed38888bb5e47b8 completed March 28, 2026, 1:44 p.m.
Created at: March 27, 2026, 2:58 p.m.