Triple

T20086706
Position Surface form Disambiguated ID Type / Status
Subject Hiiraan E496151 entity
Predicate borders P224 FINISHED
Object Galguduud 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: Galguduud | Statement: [Hiiraan, borders, Galguduud]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Galguduud
Context triple: [Hiiraan, borders, Galguduud]
  • A. Galguduud chosen
    Galguduud is a central Somali region known for its arid landscape, pastoralist communities, and strategic location within the Galmudug federal member state.
  • B. Galiwin’ku
    Galiwin’ku is a remote Indigenous community on Elcho Island in Australia’s Northern Territory, known as one of the largest and most significant homelands of the Yolngu people.
  • C. Ragalna
    Ragalna is a small Italian town on the slopes of Mount Etna in Sicily, known for its volcanic landscapes and agricultural traditions.
  • D. Gälpu
    Gälpu is an Australian Aboriginal language spoken by the Gälpu people of northeast Arnhem Land in the Northern Territory.
  • E. Gwandalan
    Gwandalan is a lakeside suburb on the southern shores of Lake Macquarie in the Central Coast region of New South Wales, Australia.
  • 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_69da626eee3881909f3454986d4a6511 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6655ba40c8190adea0e271a1249cf completed April 20, 2026, 5:41 p.m.
Created at: April 11, 2026, 11:04 p.m.