Triple

T21893049
Position Surface form Disambiguated ID Type / Status
Subject Ballal Sen E540602 entity
Predicate regionRuled P15936 FINISHED
Object Gauda NE NERFINISHED

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: Gauda | Statement: [Ballal Sen, regionRuled, Gauda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gauda
Context triple: [Ballal Sen, regionRuled, Gauda]
  • A. Gauda chosen
    Gauda was a historic region in eastern India, centered in present-day West Bengal and Bangladesh, that served as an important political and cultural center in early medieval times.
  • B. Gaudan
    Gaudan is a Turkmenistani border town situated along the frontier with Iran, serving as a local crossing and trade point between the two countries.
  • C. Gudia
    Gudia is an Indian film directed by acclaimed filmmaker Goutam Ghose, known for its sensitive storytelling and exploration of complex social and emotional themes.
  • D. Godda
    Godda is a town and administrative center in the Indian state of Jharkhand, known for its coal mining activities and role as the headquarters of Godda district.
  • E. Gondemaria
    Gondemaria is a civil parish located within the municipality of Ourém in central Portugal.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c47a95908190ae3e19b716accb3d completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f11fc46dd481908a119cfbe26564a3 completed April 28, 2026, 8:59 p.m.
Created at: April 16, 2026, 7:06 p.m.