Triple

T2956034
Position Surface form Disambiguated ID Type / Status
Subject Teke dialect E79932 entity
Predicate region P40 FINISHED
Object Mary Region E230193 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: Mary Region | Statement: [Teke dialect, region, Mary Region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mary Region
Context triple: [Teke dialect, region, Mary Region]
  • A. Mary Region chosen
    Mary Region is an administrative region in southeastern Turkmenistan known for its significant Turkmen population and its role as an agricultural and energy-producing center.
  • B. Sunraysia region
    The Sunraysia region is a major irrigated agricultural area in southeastern Australia, renowned for its production of citrus fruits, table grapes, and wine grapes.
  • C. Mackay Region
    The Mackay Region is a local government area on the central coast of Queensland, Australia, centered on the city of Mackay and known for its sugar cane industry and access to the Great Barrier Reef.
  • D. Bago Region
    Bago Region is an administrative division in central Myanmar known for its historical cities, agricultural economy, and role as a significant site of political unrest and protests.
  • E. Coast Province
    Coast Province is a former administrative region of Kenya along the Indian Ocean, known for its major port city of Mombasa and its role as a key hub for tourism and trade.
  • 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_69ad8b1276588190a374a0b12e0f7bdf completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad992998f08190ac9428310983172e completed March 8, 2026, 3:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69b0fc8a10848190b8eec482252eb76b completed March 11, 2026, 5:24 a.m.
Created at: March 8, 2026, 2:57 p.m.