Triple

T2571553
Position Surface form Disambiguated ID Type / Status
Subject Regla de Ocha E57674 entity
Predicate usesDivinationSystem P11155 FINISHED
Object dilogún
Dilogún is an Afro-Cuban divination system that interprets patterns from thrown cowrie shells to convey guidance from the orishas.
 E280525 NE FINISHED

How this triple was built (4 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: dilogún | Statement: [Regla de Ocha, usesDivinationSystem, dilogún]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: dilogún
Context triple: [Regla de Ocha, usesDivinationSystem, dilogún]
  • A. Digil
    Digil is a major dialect cluster of the Somali language spoken primarily by the Digil-Mirifle (Rahanweyn) communities in southern Somalia.
  • B. Duirinish
    Duirinish is a traditional cultural region on the Isle of Skye in Scotland, known for its rugged coastal landscapes, crofting communities, and Gaelic heritage.
  • C. Dimlî
    Dimlî is a Northwestern Iranian language spoken primarily in eastern Turkey, often considered a major dialect or variety of Zazaki.
  • D. Dison
    Dison is a municipality in the province of Liège in eastern Belgium, situated within the French-speaking Walloon region.
  • E. DL
    DL is the two-letter IATA airline designator used to identify Delta Air Lines on tickets, schedules, and flight information.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: dilogún
Triple: [Regla de Ocha, usesDivinationSystem, dilogún]
Generated description
Dilogún is an Afro-Cuban divination system that interprets patterns from thrown cowrie shells to convey guidance from the orishas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: dilogún
Target entity description: Dilogún is an Afro-Cuban divination system that interprets patterns from thrown cowrie shells to convey guidance from the orishas.
  • A. Digil
    Digil is a major dialect cluster of the Somali language spoken primarily by the Digil-Mirifle (Rahanweyn) communities in southern Somalia.
  • B. Duirinish
    Duirinish is a traditional cultural region on the Isle of Skye in Scotland, known for its rugged coastal landscapes, crofting communities, and Gaelic heritage.
  • C. Dimlî
    Dimlî is a Northwestern Iranian language spoken primarily in eastern Turkey, often considered a major dialect or variety of Zazaki.
  • D. Dison
    Dison is a municipality in the province of Liège in eastern Belgium, situated within the French-speaking Walloon region.
  • E. DL
    DL is the two-letter IATA airline designator used to identify Delta Air Lines on tickets, schedules, and flight information.
  • F. None of above. chosen

Provenance (5 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_69ab4a51410081908501dcf8bad9adc4 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd383dce881909411a38c6d37bc3a completed March 7, 2026, 7:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69af657028f08190b461442bfc7489e1 completed March 10, 2026, 12:27 a.m.
NEDg Description generation batch_69af6de00ff48190ba9198e91276ec3d completed March 10, 2026, 1:03 a.m.
NED2 Entity disambiguation (via description) batch_69af6f55bbb481908f75d923caeb8a1c completed March 10, 2026, 1:09 a.m.
Created at: March 6, 2026, 9:48 p.m.