Triple

T1384494
Position Surface form Disambiguated ID Type / Status
Subject Allahabad E29812 entity
Predicate region P40 FINISHED
Object Doab E62406 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: Doab | Statement: [Allahabad, region, Doab]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Doab
Context triple: [Allahabad, region, Doab]
  • A. Doab chosen
    Doab is a fertile alluvial region in northern India situated between the Ganges and Yamuna rivers, known for its dense agriculture and historical significance.
  • B. Doaba
    Doaba is a culturally rich region of Punjab in northern India, historically known for its fertile land between the Beas and Sutlej rivers and its significant Punjabi diaspora.
  • C. Dila
    Dila is the commonly used short name for FC Dila Gori, a professional football club based in Gori, Georgia.
  • D. Osnos
    Osnos is a surname most notably associated with American journalist and author Peter Osnos and his family.
  • E. Hyphasis
    Hyphasis is the ancient Greek name for the Beas River, a major tributary of the Indus system in northern India that marked the easternmost extent of Alexander the Great’s conquests.
  • 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_69a498dc92f8819094a1108f8ac90f43 completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c33896548190b44f70c9aaaed9b6 completed March 1, 2026, 10:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69acd48e046c8190bc4820d6c4ce907d completed March 8, 2026, 1:44 a.m.
Created at: March 1, 2026, 7:59 p.m.