Triple

T6564979
Position Surface form Disambiguated ID Type / Status
Subject Sakao E153880 entity
Predicate hasGlottologName P6521 FINISHED
Object Sakao E153880 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: Sakao | Statement: [Sakao, hasGlottologName, Sakao]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sakao
Context triple: [Sakao, hasGlottologName, Sakao]
  • A. Sakao chosen
    Sakao is an Oceanic language spoken on the island of Espiritu Santo in Vanuatu, noted for its complex phonology and distinctive sound changes.
  • B. Makira
    Makira is a large, rugged island in the Solomon Islands known for its rich biodiversity, traditional Melanesian cultures, and relatively undeveloped, rainforest-covered interior.
  • C. Swietenia mahagoni
    Swietenia mahagoni is a tropical hardwood tree species, commonly known as West Indian mahogany, valued for its high-quality timber and ornamental use.
  • D. Simarouba
    Simarouba is a genus of tropical trees and shrubs known for species like the paradise-tree, some of which are used for timber, traditional medicine, and oil-rich seeds.
  • E. Balau Iban
    Balau Iban is a regional dialect of the Iban language spoken by Iban communities in parts of Sarawak, Malaysia.
  • 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_69c6880cb35881909b763eb0125236b9 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ae3b9ec8819080f3052556d95810 completed March 27, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6d5622e0481909b0ac0f4e06d19bc completed March 27, 2026, 7:07 p.m.
Created at: March 27, 2026, 1:52 p.m.