Triple

T21603562
Position Surface form Disambiguated ID Type / Status
Subject Ghanongga language E533111 entity
Predicate hasAlternativeName P39 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: [Ghanongga language, hasAlternativeName, Ghanongga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ghanongga
Context triple: [Ghanongga language, hasAlternativeName, 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_69e0c46364608190a337dc8720dc2a35 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef17e3e18c8190b9e0626c7d16805b completed April 27, 2026, 8:01 a.m.
Created at: April 16, 2026, 6:33 p.m.