Triple

T21473317
Position Surface form Disambiguated ID Type / Status
Subject Rubiana E529786 entity
Predicate neighboringLanguages P16383 FINISHED
Object Ghanongga NE NERFINISHED

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: Ghanongga | Statement: [Rubiana, neighboringLanguages, Ghanongga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ghanongga
Context triple: [Rubiana, neighboringLanguages, Ghanongga]
  • A. Ghanongga chosen
    Ghanongga is an Oceanic language spoken in the Solomon Islands, particularly in the Western Province.
  • B. Gashua
    Gashua is a town in northeastern Nigeria that serves as an important commercial and administrative center in Yobe State.
  • C. Ganta
    Ganta is a major commercial hub and rapidly growing city in northeastern Liberia, located near the border with Guinea.
  • D. Ghinghinda
    Ghinghinda is a rural locality within Queensland’s Banana Shire, known for its agricultural and pastoral landscape.
  • E. Ghogha
    Ghogha is a coastal town in Gujarat, India, known as a historic port settlement near Bhavnagar on the Gulf of Khambhat.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c459acb481909bb6ee452a0045c7 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9ea156dac819087c4594d022d3df6 completed April 23, 2026, 9:44 a.m.
Created at: April 16, 2026, 6:19 p.m.