Triple

T13663351
Position Surface form Disambiguated ID Type / Status
Subject soca E327052 entity
Predicate alsoKnownAs P39 FINISHED
Object sokah
Sokah is an early name for the Caribbean music genre now widely known as soca, which blends calypso with Indian and other musical influences.
E1053439 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: sokah | Statement: [soca, alsoKnownAs, sokah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: sokah
Context triple: [soca, alsoKnownAs, sokah]
  • A. SOK
    SOK is the abbreviation for the Swedish Olympic Committee, the organization responsible for overseeing Sweden's participation in the Olympic Games.
  • B. SOK
    SOK is the National Rail station code for South Kenton railway station in northwest London.
  • C. SOKOM
    SOKOM is the Danish Special Operations Command, the unified headquarters responsible for overseeing Denmark’s elite special operations forces.
  • D. SOCKOR
    SOCKOR is the United States military’s theater special operations command responsible for overseeing and coordinating special operations activities on the Korean Peninsula.
  • E. SOU
    SOU is the three-letter IATA airport code for Southampton Airport in Hampshire, England.
  • 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: sokah
Triple: [soca, alsoKnownAs, sokah]
Generated description
Sokah is an early name for the Caribbean music genre now widely known as soca, which blends calypso with Indian and other musical influences.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: sokah
Target entity description: Sokah is an early name for the Caribbean music genre now widely known as soca, which blends calypso with Indian and other musical influences.
  • A. SOK
    SOK is the abbreviation for the Swedish Olympic Committee, the organization responsible for overseeing Sweden's participation in the Olympic Games.
  • B. SOK
    SOK is the National Rail station code for South Kenton railway station in northwest London.
  • C. SOKOM
    SOKOM is the Danish Special Operations Command, the unified headquarters responsible for overseeing Denmark’s elite special operations forces.
  • D. SOCKOR
    SOCKOR is the United States military’s theater special operations command responsible for overseeing and coordinating special operations activities on the Korean Peninsula.
  • E. SOU
    SOU is the three-letter National Rail station code for Southampton Central railway station in Hampshire, England.
  • 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_69d8076d8270819092afc2f0e9c359a8 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc622a07c81909ef7fb55e719dd9a completed April 12, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f78b0ac4c88190ab6f753c6847eb6e completed May 3, 2026, 5:51 p.m.
NEDg Description generation batch_69f78cdf1a74819087b0370060ddfa99 completed May 3, 2026, 5:58 p.m.
NED2 Entity disambiguation (via description) batch_69f78e00007c81909007a751fd4625c2 completed May 3, 2026, 6:03 p.m.
Created at: April 9, 2026, 9:52 p.m.