Triple

T4431958
Position Surface form Disambiguated ID Type / Status
Subject Mula River E95350 entity
Predicate hasInfrastructure P2560 FINISHED
Object Mula Dam
Mula Dam is a major irrigation and water-supply dam built on the Mula River in Maharashtra, India.
E440519 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: Mula Dam | Statement: [Mula River, hasInfrastructure, Mula Dam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mula Dam
Context triple: [Mula River, hasInfrastructure, Mula Dam]
  • A. Wayatinah Dam
    Wayatinah Dam is a hydroelectric dam on Tasmania’s Derwent River that forms part of the state’s major power generation scheme.
  • B. Manantali Dam
    Manantali Dam is a large multi-purpose dam in Mali that plays a key role in hydroelectric power generation, irrigation, and flood control for the Senegal River basin.
  • C. Wlingi Dam
    Wlingi Dam is a hydroelectric and irrigation dam located on the Brantas River in East Java, Indonesia.
  • D. Tantangara Dam
    Tantangara Dam is a major concrete gravity dam in New South Wales, Australia, built as part of the Snowy Mountains Scheme to store water for hydroelectric power generation and irrigation.
  • E. Naghlu Dam
    Naghlu Dam is a major hydroelectric and irrigation dam in Afghanistan, located east of Kabul and serving as a key source of power and water management for the 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: Mula Dam
Triple: [Mula River, hasInfrastructure, Mula Dam]
Generated description
Mula Dam is a major irrigation and water-supply dam built on the Mula River in Maharashtra, India.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mula Dam
Target entity description: Mula Dam is a major irrigation and water-supply dam built on the Mula River in Maharashtra, India.
  • A. Wayatinah Dam
    Wayatinah Dam is a hydroelectric dam on Tasmania’s Derwent River that forms part of the state’s major power generation scheme.
  • B. Manantali Dam
    Manantali Dam is a large multi-purpose dam in Mali that plays a key role in hydroelectric power generation, irrigation, and flood control for the Senegal River basin.
  • C. Wlingi Dam
    Wlingi Dam is a hydroelectric and irrigation dam located on the Brantas River in East Java, Indonesia.
  • D. Tantangara Dam
    Tantangara Dam is a major concrete gravity dam in New South Wales, Australia, built as part of the Snowy Mountains Scheme to store water for hydroelectric power generation and irrigation.
  • E. Naghlu Dam
    Naghlu Dam is a major hydroelectric and irrigation dam in Afghanistan, located east of Kabul and serving as a key source of power and water management for the 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_69b3453c2a0c8190926b574c90766db9 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3556cd83881908547aa311c4f17fa completed March 13, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69b6137171148190b77a6f783d5cf315 completed March 15, 2026, 2:03 a.m.
NEDg Description generation batch_69b6177d1a588190991fddf506239d22 completed March 15, 2026, 2:20 a.m.
NED2 Entity disambiguation (via description) batch_69b61b6bc1448190b30d444a821bb1a5 completed March 15, 2026, 2:37 a.m.
Created at: March 12, 2026, 11:31 p.m.