Triple

T8010345
Position Surface form Disambiguated ID Type / Status
Subject Haʻapai E186472 entity
Predicate capital P234 FINISHED
Object Pangai
Pangai is the main administrative and population center of the Haʻapai island group in the Kingdom of Tonga.
E707319 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: Pangai | Statement: [Haʻapai, capital, Pangai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pangai
Context triple: [Haʻapai, capital, Pangai]
  • A. Pongau
    Pongau is a mountainous district in the Austrian state of Salzburg, known for its Alpine landscapes, ski resorts, and traditional towns.
  • B. Pangnirtung
    Pangnirtung is a small Inuit hamlet on Baffin Island in Nunavut, Canada, known for its dramatic Arctic landscapes, traditional culture, and renowned printmaking and weaving arts.
  • C. Pegau
    Pegau is a small historic town in the German state of Saxony, known for its medieval architecture and location near Leipzig.
  • D. Panglao
    Panglao is a popular island municipality in the Philippines known for its white-sand beaches, diving spots, and tourism-oriented resorts.
  • E. Pirongia
    Pirongia is a rural village in the Waikato region of New Zealand, situated near Mount Pirongia and functioning as a small community within the wider Hamilton area.
  • 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: Pangai
Triple: [Haʻapai, capital, Pangai]
Generated description
Pangai is the main administrative and population center of the Haʻapai island group in the Kingdom of Tonga.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Pangai
Target entity description: Pangai is the main administrative and population center of the Haʻapai island group in the Kingdom of Tonga.
  • A. Pongau
    Pongau is a mountainous district in the Austrian state of Salzburg, known for its Alpine landscapes, ski resorts, and traditional towns.
  • B. Pangnirtung
    Pangnirtung is a small Inuit hamlet on Baffin Island in Nunavut, Canada, known for its dramatic Arctic landscapes, traditional culture, and renowned printmaking and weaving arts.
  • C. Pegau
    Pegau is a small historic town in the German state of Saxony, known for its medieval architecture and location near Leipzig.
  • D. Panglao
    Panglao is a popular island municipality in the Philippines known for its white-sand beaches, diving spots, and tourism-oriented resorts.
  • E. Pirongia
    Pirongia is a rural village in the Waikato region of New Zealand, situated near Mount Pirongia and functioning as a small community within the wider Hamilton area.
  • 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.