Triple

T14041334
Position Surface form Disambiguated ID Type / Status
Subject Noyyal river tank system E337853 entity
Predicate regionServed P82 FINISHED
Object Tiruppur region E179701 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: Tiruppur region | Statement: [Noyyal river tank system, regionServed, Tiruppur region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tiruppur region
Context triple: [Noyyal river tank system, regionServed, Tiruppur region]
  • A. Tiruppur district
    Tiruppur district is an industrial district in the Indian state of Tamil Nadu, best known as a major textile and knitwear manufacturing hub.
  • B. Tiruppur chosen
    Tiruppur is a major industrial city in India renowned as a leading hub for textile and knitwear manufacturing and export.
  • C. Kongu Nadu region
    Kongu Nadu region is a historical and cultural region in western Tamil Nadu, India, known for its rich agrarian economy, textile industries, and distinct Kongu Tamil heritage.
  • D. Rourkela industrial region
    Rourkela industrial region is a major steel and engineering hub in eastern India, centered around the Rourkela Steel Plant and associated heavy industries.
  • E. Kolar district
    Kolar district is an administrative region in the state of Karnataka, India, historically significant and known for its former gold mines and agrarian economy.
  • 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_69d81c664e48819088cbd8f433aeffe5 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de311814e48190adb637e1c97c0658 completed April 14, 2026, 12:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbc33dbc8c819080b6cb3d589da7a1 completed May 6, 2026, 10:39 p.m.
Created at: April 9, 2026, 10:20 p.m.