Triple

T2707661
Position Surface form Disambiguated ID Type / Status
Subject Tongans E59380 entity
Predicate populationConcentration P23004 FINISHED
Object Tongatapu E176067 NE FINISHED

How this triple was built (2 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: Tongatapu | Statement: [Tongans, populationConcentration, Tongatapu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tongatapu
Context triple: [Tongans, populationConcentration, Tongatapu]
  • A. Tongatapu chosen
    Tongatapu is the main island and political center of the Kingdom of Tonga, housing its capital Nukuʻalofa and the majority of the country's population.
  • B. Tulagi
    Tulagi is a small island in the Solomon Islands that gained historical significance as a strategic battleground during World War II’s Guadalcanal campaign.
  • C. Rarotongan
    Rarotongan is a Polynesian language spoken primarily in the Cook Islands, where it serves as one of the main indigenous languages.
  • D. Faleasao
    Faleasao is a small coastal village and harbor community located on the island of Taʻū in American Samoa.
  • E. Haʻapai
    Haʻapai is a central group of low-lying coral islands and reefs in the Kingdom of Tonga, known for its remote beaches, traditional villages, and rich marine life.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ab4ac66bc88190b9e4afa5fc843f72 completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abda73de1c81908f5d6b0383e23144 completed March 7, 2026, 7:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69afb683092c8190859e92acadfb820c completed March 10, 2026, 6:13 a.m.
Created at: March 6, 2026, 9:55 p.m.