Triple

T784906
Position Surface form Disambiguated ID Type / Status
Subject Cape Verde Islands E16579 entity
Predicate majorIsland P756 FINISHED
Object Sal
Sal is a popular Cape Verdean island known for its white-sand beaches, year-round sunshine, and vibrant seaside resorts centered around the town of Santa Maria.
E94282 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: Sal | Statement: [Cape Verde Islands, majorIsland, Sal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sal
Context triple: [Cape Verde Islands, majorIsland, Sal]
  • A. Sol
    Sol is the Sun, the G-type main-sequence star at the center of our solar system that provides Earth with light and heat.
  • B. Sac
    Sac is an alternative name for the Sauk, a Native American people originally from the Great Lakes region of North America.
  • C. Sam
    Sam is a person whose given name is Sam.
  • D. SL
    The Mercedes-Benz SL is a long-running line of luxury grand touring roadsters renowned for combining high performance with elegant design and advanced technology.
  • E. Sen
    Sen is a common Indian surname, particularly prevalent among Bengali communities and associated with numerous notable figures in academia, arts, and public life.
  • 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: Sal
Triple: [Cape Verde Islands, majorIsland, Sal]
Generated description
Sal is a popular Cape Verdean island known for its white-sand beaches, year-round sunshine, and vibrant seaside resorts centered around the town of Santa Maria.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sal
Target entity description: Sal is a popular Cape Verdean island known for its white-sand beaches, year-round sunshine, and vibrant seaside resorts centered around the town of Santa Maria.
  • A. Sol
    Sol is the Sun, the G-type main-sequence star at the center of our solar system that provides Earth with light and heat.
  • B. Sac
    Sac is an alternative name for the Sauk, a Native American people originally from the Great Lakes region of North America.
  • C. Sam
    Sam is a person whose given name is Sam.
  • D. SL
    The Mercedes-Benz SL is a long-running line of luxury grand touring roadsters renowned for combining high performance with elegant design and advanced technology.
  • E. Sen
    Sen is a common Indian surname, particularly prevalent among Bengali communities and associated with numerous notable figures in academia, arts, and public life.
  • 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_69a4936ad1fc81908f190208059ccf78 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a76b0d6c8190a09b1a0bd4a6eeec completed March 1, 2026, 8:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69a67efd612481909580fbef3605dcbc completed March 3, 2026, 6:26 a.m.
NEDg Description generation batch_69a67f5a246481908bde953b245a6b5e completed March 3, 2026, 6:27 a.m.
NED2 Entity disambiguation (via description) batch_69a6808fe5748190b95959ee23ee6241 completed March 3, 2026, 6:32 a.m.
Created at: March 1, 2026, 7:37 p.m.