Triple

T1833879
Position Surface form Disambiguated ID Type / Status
Subject Kistna River E41019 entity
Predicate dam P8736 FINISHED
Object Narayanpur Dam
Narayanpur Dam is a major irrigation and hydroelectric structure built across the Krishna River in Karnataka, India.
 E235797 NE FINISHED

How this triple was built (4 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: Narayanpur Dam | Statement: [Kistna River, dam, Narayanpur Dam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Narayanpur Dam
Context triple: [Kistna River, dam, Narayanpur Dam]
  • A. Navilatirtha Dam
    Navilatirtha Dam is a major irrigation and water management structure built across the Malaprabha River in Karnataka, India.
  • B. Ralco Dam
    Ralco Dam is a major hydroelectric power plant in Chile, known for its large reservoir and controversial impact on the local environment and indigenous communities.
  • C. Bhima Dam
    Bhima Dam is a major irrigation and water management structure built across the Bhima River in India.
  • D. Ghataprabha Dam
    Ghataprabha Dam is a major irrigation and hydroelectric dam in Karnataka, India, built across the Ghataprabha River to support agriculture and water supply in the region.
  • E. Rawal Dam
    Rawal Dam is a water reservoir structure near Islamabad, Pakistan, built to store and supply water from Rawal Lake for the surrounding region.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Narayanpur Dam
Triple: [Kistna River, dam, Narayanpur Dam]
Generated description
Narayanpur Dam is a major irrigation and hydroelectric structure built across the Krishna River in Karnataka, India.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Narayanpur Dam
Target entity description: Narayanpur Dam is a major irrigation and hydroelectric structure built across the Krishna River in Karnataka, India.
  • A. Navilatirtha Dam
    Navilatirtha Dam is a major irrigation and water management structure built across the Malaprabha River in Karnataka, India.
  • B. Ralco Dam
    Ralco Dam is a major hydroelectric power plant in Chile, known for its large reservoir and controversial impact on the local environment and indigenous communities.
  • C. Bhima Dam
    Bhima Dam is a major irrigation and water management structure built across the Bhima River in India.
  • D. Ghataprabha Dam
    Ghataprabha Dam is a major irrigation and hydroelectric dam in Karnataka, India, built across the Ghataprabha River to support agriculture and water supply in the region.
  • E. Rawal Dam
    Rawal Dam is a water reservoir structure near Islamabad, Pakistan, built to store and supply water from Rawal Lake for the surrounding region.
  • F. None of above. chosen

Provenance (5 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_69a88647f9388190909bc36e795bdaec completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb02540dc819081b19a09562139cd completed March 7, 2026, 4:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae516ffd088190ae2c730e1caff8f6 completed March 9, 2026, 4:49 a.m.
NEDg Description generation batch_69ae5209ae40819095e02cafb8112a1f completed March 9, 2026, 4:52 a.m.
NED2 Entity disambiguation (via description) batch_69ae529375788190aead19ec0874f11e completed March 9, 2026, 4:54 a.m.
Created at: March 4, 2026, 7:33 p.m.