Triple

T6731239
Position Surface form Disambiguated ID Type / Status
Subject Southern Oceanic languages E153637 entity
Predicate includesLanguage P2177 FINISHED
Object Lenakel E168148 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: Lenakel | Statement: [Southern Oceanic languages, includesLanguage, Lenakel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lenakel
Context triple: [Southern Oceanic languages, includesLanguage, Lenakel]
  • A. Lenakel chosen
    Lenakel is an Oceanic language spoken primarily on Tanna Island in Vanuatu.
  • B. Tjørnuvík
    Tjørnuvík is a small, picturesque coastal village in the Faroe Islands, known for its dramatic surrounding mountains, black sand beach, and views of the sea stacks Risin og Kellingin.
  • C. Hinnøya
    Hinnøya is the largest island in mainland Norway, known for its dramatic fjords, mountains, and coastal landscapes in the north of the country.
  • D. Rognøya
    Rognøya is an island located in the Norwegian lake Norsjø, known as part of the inland archipelago in Telemark.
  • E. Åndalsnes
    Åndalsnes is a small Norwegian town known as a gateway to dramatic fjord and mountain landscapes, including popular hiking and climbing areas like Romsdalseggen and Trollveggen.
  • 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_69c6880bdd68819097de8b6099992682 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d16a30888190ae474d90bb71ac49 completed March 27, 2026, 6:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7129f2d2c81908102eabbae3935d7 completed March 27, 2026, 11:28 p.m.
Created at: March 27, 2026, 2:09 p.m.