Triple

T7795894
Position Surface form Disambiguated ID Type / Status
Subject Kongu Nadu E180296 entity
Predicate hasRiver P165 FINISHED
Object Amaravathi River E66875 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: Amaravathi River | Statement: [Kongu Nadu, hasRiver, Amaravathi River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amaravathi River
Context triple: [Kongu Nadu, hasRiver, Amaravathi River]
  • A. Bhavani River
    The Bhavani River is a major tributary of the Kaveri River in southern India, flowing through the states of Tamil Nadu and Kerala and supporting extensive agriculture and hydroelectric projects.
  • B. Amaravati River chosen
    The Amaravati River is a significant river in southern India that flows through the state of Tamil Nadu, supporting agriculture and local ecosystems before joining the Kaveri.
  • C. Siva River
    The Siva River is a tributary waterway in Russia that feeds into the Kama River within the Volga basin.
  • D. Kolar River
    The Kolar River is a significant tributary of central India’s Narmada River, contributing to the region’s water resources and irrigation.
  • E. Munneru River
    Munneru River is a significant tributary in southern India that feeds into the Krishna River, contributing to the region’s irrigation and water resources.
  • 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_69ca827d22208190b4dc5aa680edcf5d completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cae94c41408190b73e37c0ff2c6628 completed March 30, 2026, 9:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce6c7d795081909fc85cc99e11c971 completed April 2, 2026, 1:17 p.m.
Created at: March 30, 2026, 4:31 p.m.