Triple

T7767743
Position Surface form Disambiguated ID Type / Status
Subject Vavaʻu E178991 entity
Predicate hasIsland P970 FINISHED
Object Kapa
Kapa is a small island in the Vavaʻu island group of the Kingdom of Tonga, known for its scenic South Pacific marine environment.
E687250 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: Kapa | Statement: [Vavaʻu, hasIsland, Kapa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kapa
Context triple: [Vavaʻu, hasIsland, Kapa]
  • A. Kapaa
    Kapaa is a coastal town on the east side of Kauai, Hawaii, known for its beaches, resorts, and small-town atmosphere.
  • B. Pakurumo
    Pakurumo is a popular Afrobeat song by Nigerian artist Wizkid, known for its upbeat rhythm and dance-friendly vibe.
  • C. Kapyong
    Kapyong is a Korean War battlefield in South Korea renowned for a pivotal 1951 engagement in which outnumbered UN forces, including Canadian troops, halted a major Chinese offensive.
  • D. Caibiran
    Caibiran is a coastal municipality on Biliran Island in the Eastern Visayas region of the Philippines, known for its natural springs and rural landscape.
  • E. Kalampaka
    Kalampaka is a town in central Greece best known as the gateway to the Meteora monasteries, a UNESCO World Heritage site built atop towering rock pillars.
  • 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: Kapa
Triple: [Vavaʻu, hasIsland, Kapa]
Generated description
Kapa is a small island in the Vavaʻu island group of the Kingdom of Tonga, known for its scenic South Pacific marine environment.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kapa
Target entity description: Kapa is a small island in the Vavaʻu island group of the Kingdom of Tonga, known for its scenic South Pacific marine environment.
  • A. Kapaa
    Kapaa is a coastal town on the east side of Kauai, Hawaii, known for its beaches, resorts, and small-town atmosphere.
  • B. Pakurumo
    Pakurumo is a popular Afrobeat song by Nigerian artist Wizkid, known for its upbeat rhythm and dance-friendly vibe.
  • C. Kapyong
    Kapyong is a Korean War battlefield in South Korea renowned for a pivotal 1951 engagement in which outnumbered UN forces, including Canadian troops, halted a major Chinese offensive.
  • D. Caibiran
    Caibiran is a coastal municipality on Biliran Island in the Eastern Visayas region of the Philippines, known for its natural springs and rural landscape.
  • E. Kalampaka
    Kalampaka is a town in central Greece best known as the gateway to the Meteora monasteries, a UNESCO World Heritage site built atop towering rock pillars.
  • 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_69c69f30602c819082ab52cd4af5c592 completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c70435b7f88190a5e68e6ae701c58f completed March 27, 2026, 10:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8c7e4976c81909ff34dcdcae96999 completed March 29, 2026, 6:34 a.m.
NEDg Description generation batch_69c8c8b75b848190a67de2040d563f86 completed March 29, 2026, 6:37 a.m.
NED2 Entity disambiguation (via description) batch_69c8c941814081909d299df5cd714c71 completed March 29, 2026, 6:40 a.m.
Created at: March 27, 2026, 4:11 p.m.