Triple

T15247186
Position Surface form Disambiguated ID Type / Status
Subject Shimsha Falls E364413 entity
Predicate locatedNear P294 FINISHED
Object Malavalli E367806 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: Malavalli | Statement: [Shimsha Falls, locatedNear, Malavalli]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Malavalli
Context triple: [Shimsha Falls, locatedNear, Malavalli]
  • A. Malavalli chosen
    Malavalli is a town in the Mandya district of Karnataka, India, known for its proximity to the Shimsha River and its agricultural surroundings.
  • B. Kammala
    Kammala was a historical figure known primarily as one of the children of Zhenjin, the Crown Prince of the Yuan dynasty and son of Kublai Khan.
  • C. Maddur
    Maddur is a town in Karnataka, India, known for its location between Bengaluru and Mysuru and its popular local snack, Maddur vada.
  • D. Omalur
    Omalur is a town in the Indian state of Tamil Nadu, situated near the city of Salem and functioning as a local administrative and commercial center for the surrounding region.
  • E. Ukkadam
    Ukkadam is a prominent commercial and transport hub in Coimbatore, Tamil Nadu, known for its busy markets and connectivity.
  • 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_69d85a0dde7481908fc64d1e82d5d20d completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e007f4f9d48190b96a7e0c6993cd69 completed April 15, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fee5f184d481909eb4294ee3648226 completed May 9, 2026, 7:44 a.m.
Created at: April 10, 2026, 3:13 a.m.