Triple

T8010348
Position Surface form Disambiguated ID Type / Status
Subject Haʻapai E186472 entity
Predicate hasIsland P970 FINISHED
Object Foa
Foa is an island in the Haʻapai group of the Kingdom of Tonga, known for its quiet beaches, traditional villages, and coral reefs.
 E707321 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: Foa | Statement: [Haʻapai, hasIsland, Foa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Foa
Context triple: [Haʻapai, hasIsland, Foa]
  • A. Falk
    Falk is a surname most famously associated with American actor Peter Falk, best known for his role as the television detective Columbo.
  • B. Fisk
    Fisk is a surname most famously associated with Carlton Fisk, a Hall of Fame Major League Baseball catcher known for his long career with the Boston Red Sox and Chicago White Sox.
  • C. Fiske
    Fiske is the middle name of Harlan F. Stone, who served as Chief Justice of the United States Supreme Court in the mid-20th century.
  • D. Mola
    Mola is a Spanish surname most notably associated with Emilio Mola, a key Nationalist general during the Spanish Civil War.
  • E. Karosta
    Karosta is a historic former military port district in the Latvian city of Liepāja, known for its Tsarist-era fortifications, Soviet naval heritage, and distinctive coastal landscape.
  • 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: Foa
Triple: [Haʻapai, hasIsland, Foa]
Generated description
Foa is an island in the Haʻapai group of the Kingdom of Tonga, known for its quiet beaches, traditional villages, and coral reefs.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Foa
Target entity description: Foa is an island in the Haʻapai group of the Kingdom of Tonga, known for its quiet beaches, traditional villages, and coral reefs.
  • A. Falk
    Falk is a surname most famously associated with American actor Peter Falk, best known for his role as the television detective Columbo.
  • B. Fisk
    Fisk is a surname most famously associated with Carlton Fisk, a Hall of Fame Major League Baseball catcher known for his long career with the Boston Red Sox and Chicago White Sox.
  • C. Fiske
    Fiske is the middle name of Harlan F. Stone, who served as Chief Justice of the United States Supreme Court in the mid-20th century.
  • D. Mola
    Mola is a Spanish surname most notably associated with Emilio Mola, a key Nationalist general during the Spanish Civil War.
  • E. Karosta
    Karosta is a historic former military port district in the Latvian city of Liepāja, known for its Tsarist-era fortifications, Soviet naval heritage, and distinctive coastal landscape.
  • 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_69ca82abaffc8190ab8af79cdbc31ab3 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3d70caf8819090a9f98025470c0d completed March 31, 2026, 3:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc56a54e8081908208b57b7390cc95 completed March 31, 2026, 11:20 p.m.
NEDg Description generation batch_69cc58ecd0608190ab0880992bc203fb completed March 31, 2026, 11:29 p.m.
NED2 Entity disambiguation (via description) batch_69cc5cb791b48190bd5004b518d23f84 completed March 31, 2026, 11:45 p.m.
Created at: March 30, 2026, 5:19 p.m.