Triple

T12566528
Position Surface form Disambiguated ID Type / Status
Subject Kalyangad Fort E295492 entity
Predicate locatedInRegion P40 FINISHED
Object Satara region E620480 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: Satara region | Statement: [Kalyangad Fort, locatedInRegion, Satara region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Satara region
Context triple: [Kalyangad Fort, locatedInRegion, Satara region]
  • A. Satara district chosen
    Satara district is an administrative district in the Indian state of Maharashtra, known for its historical forts, hill stations like Mahabaleshwar and Panchgani, and its location in the Western Ghats.
  • B. Sidama Region
    Sidama Region is an administrative region in southern Ethiopia, known for its Sidama people, coffee production, and recently gained regional state status.
  • C. Bono Region
    The Bono Region is an administrative region in central Ghana known for its agricultural productivity, cultural heritage, and emerging urban centers such as Sunyani.
  • D. Biltine Region
    Biltine Region was a former administrative region in eastern Chad that was later reorganized and renamed Wadi Fira.
  • E. Samtskhe region
    Samtskhe region is a historical area in southwestern Georgia known for its medieval principalities, diverse cultural heritage, and strategic location along key trade and invasion 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_69d6ad9cac2c81908e8a7bed82d1e21d completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d9549611c081909e611756f3cce7f0 completed April 10, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6a537bb1881908a50073d4f27b66c completed May 3, 2026, 1:30 a.m.
Created at: April 8, 2026, 11:49 p.m.