Triple

T3951592
Position Surface form Disambiguated ID Type / Status
Subject Chadic languages E84876 entity
Predicate majorLanguage P207 FINISHED
Object Ngas E360980 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: Ngas | Statement: [Chadic languages, majorLanguage, Ngas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ngas
Context triple: [Chadic languages, majorLanguage, Ngas]
  • A. Ngas chosen
    The Ngas are an ethnic group in central Nigeria known for their rich cultural traditions, distinctive language, and historical presence on the Jos Plateau.
  • B. Namaka
    Namaka is the smaller and inner of the two known moons orbiting the dwarf planet Haumea in the Kuiper Belt.
  • C. Nansio
    Nansio is the main town and administrative center of Ukerewe Island in Lake Victoria, Tanzania.
  • D. Tantamani
    Tantamani was a Kushite king of the 25th Dynasty of Egypt, known for his brief attempt to restore Nubian control over Egypt before being driven back by the Assyrians.
  • E. Nakara
    Nakara is a residential suburb in the northern part of Darwin, Northern Territory, Australia, known for its family-friendly streets and proximity to Casuarina’s major shopping and educational facilities.
  • 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_69aed934fbfc8190847068e4546de963 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef9384cdc8190ad89b32dc25ac1d7 completed March 9, 2026, 4:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b533a80d4c8190bb1aac1b2900d9a8 completed March 14, 2026, 10:08 a.m.
Created at: March 9, 2026, 3:30 p.m.