Triple

T4283593
Position Surface form Disambiguated ID Type / Status
Subject Vanua Levu E97212 entity
Predicate hasPort P35 FINISHED
Object Savusavu E426419 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: Savusavu | Statement: [Vanua Levu, hasPort, Savusavu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Savusavu
Context triple: [Vanua Levu, hasPort, Savusavu]
  • A. Savusavu chosen
    Savusavu is a small coastal town on the island of Vanua Levu in Fiji, known for its sheltered bay, hot springs, and popularity as a yachting and diving destination.
  • B. Tambolaka
    Tambolaka is a town on the Indonesian island of Sumba that serves as an important local hub with an airport and access point for exploring the island.
  • C. Rahaita
    Rahaita is a settlement located in Eritrea's Southern Red Sea Region, along the country's arid Red Sea coastal area.
  • D. Tolitoli
    Tolitoli is a coastal town and regency capital in Central Sulawesi, Indonesia, known as a regional hub for trade and agriculture.
  • E. Nukunonu
    Nukunonu is one of the three atolls of Tokelau in the South Pacific Ocean, serving as an important administrative and population center of the territory.
  • 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_69b3454595848190a0e6bbb6a2bea040 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3503a84548190989a96d1a30d6ef7 completed March 12, 2026, 11:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5c72804ac81908f8d2c111276b6b7 completed March 14, 2026, 8:38 p.m.
Created at: March 12, 2026, 11:07 p.m.