Triple

T11068099
Position Surface form Disambiguated ID Type / Status
Subject Northern Tat E261675 entity
Predicate closelyRelatedTo P37 FINISHED
Object Southern Tat E261676 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: Southern Tat | Statement: [Northern Tat, closelyRelatedTo, Southern Tat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Southern Tat
Context triple: [Northern Tat, closelyRelatedTo, Southern Tat]
  • A. Southern Tat chosen
    Southern Tat is a regional variety of the Tat language spoken by Tat communities in parts of the South Caucasus.
  • B. Southern Lau
    Southern Lau is a dialectal variety of the Lau language spoken on Malaita in the Solomon Islands.
  • C. Southern Kam
    Southern Kam is a major dialect of the Kam language spoken by the Kam (Dong) people in parts of southern China.
  • D. South-East Region
    The South-East Region is an administrative and statistical region of Ireland encompassing several counties in the southeast of the country, known for its mix of historic cities, agriculture, and coastal areas.
  • E. South East
    South East is one of Nigeria’s six geopolitical zones, predominantly inhabited by Igbo-speaking people and known for its dense population, commerce, and vibrant cultural heritage.
  • 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_69d6aa9983c08190b0ef61603b69feac completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7992164d88190a01ed567b2529227 completed April 9, 2026, 12:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3c8a4cdb8819080765d746f477089 completed April 18, 2026, 6:08 p.m.
Created at: April 8, 2026, 9:26 p.m.