Triple

T28086087
Position Surface form Disambiguated ID Type / Status
Subject Jindal Vijayanagar Steel Ltd. E709824 entity
Predicate hasMajorPlantLocation P43763 FINISHED
Object Toranagallu, Karnataka
Toranagallu, Karnataka is an industrial village in the Ballari district best known for hosting one of India’s largest integrated steel plants operated by Jindal Vijayanagar Steel Ltd.
 E1802292 NE FINISHED

How this triple was built (3 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: Toranagallu, Karnataka | Statement: [Jindal Vijayanagar Steel Ltd., hasMajorPlantLocation, Toranagallu, Karnataka]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Toranagallu, Karnataka
Triple: [Jindal Vijayanagar Steel Ltd., hasMajorPlantLocation, Toranagallu, Karnataka]
Generated description
Toranagallu, Karnataka is an industrial village in the Ballari district best known for hosting one of India’s largest integrated steel plants operated by Jindal Vijayanagar Steel Ltd.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasMajorPlantLocation
Context triple: [Jindal Vijayanagar Steel Ltd., hasMajorPlantLocation, Toranagallu, Karnataka]
  • A. hasMajorPlant chosen
    Indicates that one entity possesses or hosts a primary or most significant plant facility or installation in relation to another entity.
  • B. hasMajorLocation
    Indicates that an entity is primarily situated in, based in, or most significantly associated with a particular location.
  • C. plantLocation
    Indicates the location where a plant is situated, grown, or found.
  • D. isMajorPlant
    Indicates that a plant holds primary or dominant importance within a given context, such as size, influence, or role.
  • E. pressingPlantLocation
    Indicates the location where a plant is being or has been pressed (e.g., for preservation or processing).
  • F. None of above.

Provenance (6 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_69ef9b7037f0819095bb90eaccbcaf32 completed April 27, 2026, 5:22 p.m.
NER Named-entity recognition batch_69feafa1ba0081909013800b85a9f613 completed May 9, 2026, 3:53 a.m.
NED1 Entity disambiguation (via context triple) batch_6a15c91adc888190a9f9c0892af6c84d completed May 26, 2026, 4:23 p.m.
NEDg Description generation batch_6a15ca6352088190896197841a36baa7 completed May 26, 2026, 4:29 p.m.
NED2 Entity disambiguation (via description) batch_6a15ccdad0d0819093ee0e177574c96d completed May 26, 2026, 4:39 p.m.
PD Predicate disambiguation batch_69feae58d62c81909d031f3df8992883 completed May 9, 2026, 3:47 a.m.
Created at: April 27, 2026, 8:55 p.m.