Triple

T22232918
Position Surface form Disambiguated ID Type / Status
Subject Caribbean coast of French Guiana E549513 entity
Predicate hasTownOnCoast P119430 FINISHED
Object Regina
Regina is a small coastal town in French Guiana located along the Caribbean shoreline.
E1530292 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: Regina | Statement: [Caribbean coast of French Guiana, hasTownOnCoast, Regina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Regina
Context triple: [Caribbean coast of French Guiana, hasTownOnCoast, Regina]
  • A. Regina
    Regina is a 1949 opera by American composer Marc Blitzstein, adapted from Lillian Hellman’s play "The Little Foxes."
  • B. Regina
    Regina is a fictional character known for her role as a maid.
  • C. Regina
    Regina is the given first name of American actress Jenna Fischer, best known for her role as Pam Beesly on the U.S. version of "The Office."
  • D. Regina
    Regina is a feminine given name of Latin origin meaning "queen," used in various cultures and languages.
  • E. Regina, Saskatchewan, Canada
    Regina, Saskatchewan, Canada is the capital city of the province of Saskatchewan, known as a major cultural and economic center on the Canadian Prairies.
  • 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: Regina
Triple: [Caribbean coast of French Guiana, hasTownOnCoast, Regina]
Generated description
Regina is a small coastal town in French Guiana located along the Caribbean shoreline.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Regina
Target entity description: Regina is a small coastal town in French Guiana located along the Caribbean shoreline.
  • A. Regina
    Regina is a fictional character known for her role as a maid.
  • B. Regina
    Regina is a 1949 opera by American composer Marc Blitzstein, adapted from Lillian Hellman’s play "The Little Foxes."
  • C. Regina
    Regina is the given first name of American actress Jenna Fischer, best known for her role as Pam Beesly on the U.S. version of "The Office."
  • D. Regina
    Regina is a feminine given name of Latin origin meaning "queen," used in various cultures and languages.
  • E. Regina, Saskatchewan, Canada
    Regina, Saskatchewan, Canada is the capital city of the province of Saskatchewan, known as a major cultural and economic center on the Canadian Prairies.
  • 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_69e11e4102b881909cf47d3768e25c19 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12bf4e0348190b755a9ac0bc96cdd completed April 28, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0acc86e96c8190abd165311cd3a334 completed May 18, 2026, 8:23 a.m.
NEDg Description generation batch_6a0acfbe5b1881909b6fb940a7dac7e5 completed May 18, 2026, 8:37 a.m.
NED2 Entity disambiguation (via description) batch_6a0ad10980388190a2694295a19f726d completed May 18, 2026, 8:42 a.m.
Created at: April 16, 2026, 8:38 p.m.