Triple

T7439974
Position Surface form Disambiguated ID Type / Status
Subject Marovo E171721 entity
Predicate hasNeighbouringLanguage P16383 FINISHED
Object Roviana E146928 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: Roviana | Statement: [Marovo, hasNeighbouringLanguage, Roviana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roviana
Context triple: [Marovo, hasNeighbouringLanguage, Roviana]
  • A. Roviana chosen
    Roviana is an Oceanic language spoken primarily in the Western Province of the Solomon Islands, particularly around the Roviana Lagoon.
  • B. Faleula
    Faleula is a village on the island of Upolu in Samoa, known for its coastal location and traditional Samoan community life.
  • C. Tolitoli
    Tolitoli is a coastal town and regency capital in Central Sulawesi, Indonesia, known as a regional hub for trade and agriculture.
  • D. Tanna
    Tanna is a volcanic island in southern Vanuatu known for its active Mount Yasur volcano and traditional kastom villages.
  • E. Gavutu
    Gavutu is a small island in the Central Province of the Solomon Islands, historically notable as a strategic site during World War II.
  • 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_69c68a64228c8190affaec2a8127ce7b completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f34c28648190a426b5d7623b41e8 completed March 27, 2026, 9:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69c82791ff2c81909967f145d24ff036 completed March 28, 2026, 7:10 p.m.
Created at: March 27, 2026, 3:13 p.m.