Triple

T4133192
Position Surface form Disambiguated ID Type / Status
Subject Merv E85087 entity
Predicate locatedInRegion 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: [Merv, locatedInRegion, Mary Region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mary Region
Context triple: [Merv, locatedInRegion, 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. Maekel Region
    Maekel Region is a central administrative region of Eritrea that includes the nation’s capital, Asmara, and serves as its political and economic hub.
  • C. 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.
  • D. 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.
  • E. 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.
  • 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_69aed935ccd881909dc61f81bcdb7a78 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af02306d608190bf8945d560f87c21 completed March 9, 2026, 5:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69b57f2bb38c819090884069688063d2 completed March 14, 2026, 3:30 p.m.
Created at: March 9, 2026, 3:43 p.m.