Triple

T2436530
Position Surface form Disambiguated ID Type / Status
Subject Teesta River E52973 entity
Predicate hasDam P8736 FINISHED
Object Teesta Low Dam IV
Teesta Low Dam IV is a hydroelectric power project built on the Teesta River in the Indian state of West Bengal.
E269175 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: Teesta Low Dam IV | Statement: [Teesta River, hasDam, Teesta Low Dam IV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Teesta Low Dam IV
Context triple: [Teesta River, hasDam, Teesta Low Dam IV]
  • A. Teesta Low Dam III
    Teesta Low Dam III is a hydroelectric power project built on the Teesta River in India to generate electricity and help regulate river flow.
  • B. Navilatirtha Dam
    Navilatirtha Dam is a major irrigation and water management structure built across the Malaprabha River in Karnataka, India.
  • C. 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.
  • D. Narayanpur Dam
    Narayanpur Dam is a major irrigation and hydroelectric structure built across the Krishna River in Karnataka, India.
  • 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: Teesta Low Dam IV
Triple: [Teesta River, hasDam, Teesta Low Dam IV]
Generated description
Teesta Low Dam IV is a hydroelectric power project built on the Teesta River in the Indian state of West Bengal.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Teesta Low Dam IV
Target entity description: Teesta Low Dam IV is a hydroelectric power project built on the Teesta River in the Indian state of West Bengal.
  • A. Teesta Low Dam III
    Teesta Low Dam III is a hydroelectric power project built on the Teesta River in India to generate electricity and help regulate river flow.
  • B. Navilatirtha Dam
    Navilatirtha Dam is a major irrigation and water management structure built across the Malaprabha River in Karnataka, India.
  • C. 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.
  • D. Narayanpur Dam
    Narayanpur Dam is a major irrigation and hydroelectric structure built across the Krishna River in Karnataka, India.
  • 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_69ab4959bcc0819083246f9fb10439e3 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abc9cd49b48190bff10a5ab7cef483 completed March 7, 2026, 6:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69aef0ad31b8819084813b65b46bc9fc completed March 9, 2026, 4:09 p.m.
NEDg Description generation batch_69af118dc6908190a3efb36fcabfe1b3 completed March 9, 2026, 6:29 p.m.
NED2 Entity disambiguation (via description) batch_69af11ecbb0c819099d3041be2935053 completed March 9, 2026, 6:31 p.m.
Created at: March 6, 2026, 9:43 p.m.