Triple

T15208229
Position Surface form Disambiguated ID Type / Status
Subject Lomaiviti group E363444 entity
Predicate hasMainIsland P756 FINISHED
Object Gau E1143114 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: Gau | Statement: [Lomaiviti group, hasMainIsland, Gau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gau
Context triple: [Lomaiviti group, hasMainIsland, Gau]
  • A. Gau chosen
    Gau is one of the main islands in Fiji’s Lomaiviti archipelago, known for its rugged interior, traditional villages, and rich marine surroundings.
  • B. Gausa
    Gausa is a river in Innlandet county, Norway, known for flowing through Gausdal and into the Gudbrandsdalslågen.
  • C. Gour
    Gour is an ancient ruined city in West Bengal, India, known for its rich medieval history and numerous Islamic and pre-Islamic architectural remains.
  • D. Ogna
    Ogna is a river in Trøndelag county, Norway, known for flowing through the municipality of Steinkjer.
  • E. Gouais
    Gouais is an ancient white wine grape variety historically important as a parent of many classic European grape cultivars.
  • 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e006b8e2788190bd1831762e4181ae completed April 15, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69fedd2f86688190bafdfe72033eda90 completed May 9, 2026, 7:07 a.m.
Created at: April 10, 2026, 3:11 a.m.