Triple

T1898660
Position Surface form Disambiguated ID Type / Status
Subject Wardha district E37639 entity
Predicate hasSubdivision P747 FINISHED
Object Seloo taluka E212430 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: Seloo taluka | Statement: [Wardha district, hasSubdivision, Seloo taluka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seloo taluka
Context triple: [Wardha district, hasSubdivision, Seloo taluka]
  • A. Arvi taluka
    Arvi taluka is an administrative subdivision in the Indian state of Maharashtra, located within Wardha district.
  • B. Seloo chosen
    Seloo is a town in the Indian state of Maharashtra, known as a local commercial and educational center within the Vidarbha region.
  • C. Hailuoto
    Hailuoto is a Finnish island in the northern Baltic Sea known for its unique dune landscapes, birdlife, and traditional fishing villages.
  • D. Taman Peninsula
    The Taman Peninsula is a region in southern Russia between the Black Sea and the Sea of Azov, known for its strategic location, ports, and historical role as a crossroads between Europe and Asia.
  • E. Turku Archipelago
    The Turku Archipelago is a vast network of thousands of islands and islets off Finland’s southwest coast, known for its scenic seascapes, traditional wooden villages, and popular cycling and boating routes.
  • 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_69a8861be7148190a680937ec451a304 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb170657481908662089511a8f301 completed March 7, 2026, 5:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69adf3ced4708190ba3d5131039691e8 completed March 8, 2026, 10:10 p.m.
Created at: March 4, 2026, 7:35 p.m.