Triple

T11628621
Position Surface form Disambiguated ID Type / Status
Subject Chamkaur E276336 entity
Predicate region P40 FINISHED
Object Doaba E62997 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: Doaba | Statement: [Chamkaur, region, Doaba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Doaba
Context triple: [Chamkaur, region, Doaba]
  • A. Doaba chosen
    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.
  • B. Wetaskiwin
    Wetaskiwin is a small city in central Alberta, Canada, known for its agricultural roots and the Reynolds-Alberta Museum showcasing the history of transportation.
  • C. Costoboci
    The Costoboci were an ancient Dacian or Thracian tribe known from Roman sources for their raids into Roman territories during the 2nd century AD, including in the period of the Marcomannic Wars.
  • D. Senoia
    Senoia is a small historic city in Georgia, United States, known for its well-preserved downtown and frequent use as a filming location, particularly for the television series "The Walking Dead."
  • E. Iller
    The Iller is a river in southern Germany that flows through Bavaria and Baden-Württemberg before joining the Danube.
  • 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_69d6aafa51148190ab84940694c00235 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a1259cd08190a75eeacb5e39b858 completed April 10, 2026, 7:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69ee87922b308190a16d026a75b1043e completed April 26, 2026, 9:45 p.m.
Created at: April 8, 2026, 9:39 p.m.