Triple

T21637363
Position Surface form Disambiguated ID Type / Status
Subject Vailele E533994 entity
Predicate nearbySettlement P350 FINISHED
Object Apia urban area NE NERFINISHED

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: Apia urban area | Statement: [Vailele, nearbySettlement, Apia urban area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Apia urban area
Context triple: [Vailele, nearbySettlement, Apia urban area]
  • A. Apia chosen
    Apia is the capital and largest city of Samoa, serving as its main political, economic, and cultural hub on the island of Upolu.
  • B. Apia
    Apia is an Australian insurance brand specializing in products and services tailored primarily for people over 50.
  • C. Nuku Kehu
    Nuku Kehu is a mythological figure from Rapa Nui (Easter Island) tradition, associated with the island’s indigenous Polynesian cosmology and ancestral lore.
  • D. Nukuʻalofa
    Nukuʻalofa is the capital and largest city of Tonga, located on the island of Tongatapu in the South Pacific.
  • E. Vaitape
    Vaitape is the main village and commercial hub of Bora Bora in French Polynesia, serving as its primary port and population center.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c465ae7481908577b7209fdb2a77 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef538eef0481908f5bf0e27f8e054d completed April 27, 2026, 12:16 p.m.
Created at: April 16, 2026, 6:35 p.m.