Triple

T8565817
Position Surface form Disambiguated ID Type / Status
Subject Nubian languages E202798 entity
Predicate hasMemberLanguage P7390 FINISHED
Object Andaandi E292034 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: Andaandi | Statement: [Nubian languages, hasMemberLanguage, Andaandi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Andaandi
Context triple: [Nubian languages, hasMemberLanguage, Andaandi]
  • A. Andaandi chosen
    Andaandi is a Nubian language variety spoken primarily in the Dongola region of northern Sudan.
  • B. Andaz
    Andaz is a luxury boutique hotel brand known for its contemporary design, locally inspired experiences, and personalized service.
  • C. Meenas
    The Meenas are an indigenous tribal community of northern India, historically associated with agrarian livelihoods, local chieftaincies, and a distinct cultural and religious heritage.
  • D. Andhadhun
    Andhadhun is a critically acclaimed 2018 Indian black comedy thriller film directed by Sriram Raghavan, known for its twist-filled plot and standout performances.
  • E. Ben Aan
    Ben Aan is a popular, relatively small hill in the Trossachs region of Scotland, known for its steep but short ascent and panoramic views over Loch Katrine and Loch Achray.
  • 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_69ca8327b0a881908606ff860713964d completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe9d2331881909d92ddde90f580e9 completed March 31, 2026, 3:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce89677888819091dfda14ce6baef3 completed April 2, 2026, 3:21 p.m.
Created at: March 30, 2026, 6:20 p.m.