Triple

T6922351
Position Surface form Disambiguated ID Type / Status
Subject Tadaksahak language E160217 entity
Predicate neighboringLanguages P16383 FINISHED
Object Tasawaq E203665 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: Tasawaq | Statement: [Tadaksahak language, neighboringLanguages, Tasawaq]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tasawaq
Context triple: [Tadaksahak language, neighboringLanguages, Tasawaq]
  • A. Tasiilaq
    Tasiilaq is a remote town on the southeastern coast of Greenland, known for its dramatic fjord landscape, Inuit culture, and role as a regional hub for outdoor and Arctic expeditions.
  • B. Tayshet
    Tayshet is a town in Irkutsk Oblast, Russia, known as a major railway junction in Siberia.
  • C. Tamahaq chosen
    Tamahaq is a Berber (Amazigh) language traditionally spoken by the Tuareg people of the central Sahara.
  • D. Taaqtam
    Taaqtam is the self-designated name of the Serrano people, an Indigenous group native to the inland regions of Southern California.
  • E. 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.
  • 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_69c6884d350081908d8a970e4d40ad78 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6d9fd159c819092a69d1a24e22dd5 completed March 27, 2026, 7:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c75854d968819085e0c5123a57c751 completed March 28, 2026, 4:25 a.m.
Created at: March 27, 2026, 2:26 p.m.