Triple

T18151820
Position Surface form Disambiguated ID Type / Status
Subject Pindar River E434520 entity
Predicate near P350 FINISHED
Object Nanda Kot
Nanda Kot is a prominent Himalayan peak in the Kumaon region of Uttarakhand, India, known for its striking pyramid shape and challenging mountaineering routes.
 E1309745 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: Nanda Kot | Statement: [Pindar River, near, Nanda Kot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nanda Kot
Context triple: [Pindar River, near, Nanda Kot]
  • A. Kotkapura
    Kotkapura is a historic town and commercial center in the Faridkot district of Punjab, India, known for its textile and agricultural markets.
  • B. Kandhkot
    Kandhkot is a town in Pakistan’s Sindh province that serves as a key urban and commercial center in the Kashmore District.
  • C. Koṭa
    Koṭa is a Dravidian language spoken by the indigenous Kota people in the Nilgiri Hills of southern India.
  • D. Narsapur
    Narsapur is a prominent town in Telangana, India, known as one of the major urban centers of Medak district.
  • E. Budhlada
    Budhlada is a town in the Mansa district of Punjab, India, known as a regional commercial and agricultural center.
  • 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: Nanda Kot
Triple: [Pindar River, near, Nanda Kot]
Generated description
Nanda Kot is a prominent Himalayan peak in the Kumaon region of Uttarakhand, India, known for its striking pyramid shape and challenging mountaineering routes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nanda Kot
Target entity description: Nanda Kot is a prominent Himalayan peak in the Kumaon region of Uttarakhand, India, known for its striking pyramid shape and challenging mountaineering routes.
  • A. Kotkapura
    Kotkapura is a historic town and commercial center in the Faridkot district of Punjab, India, known for its textile and agricultural markets.
  • B. Kandhkot
    Kandhkot is a town in Pakistan’s Sindh province that serves as a key urban and commercial center in the Kashmore District.
  • C. Koṭa
    Koṭa is a Dravidian language spoken by the indigenous Kota people in the Nilgiri Hills of southern India.
  • D. Narsapur
    Narsapur is a prominent town in Telangana, India, known as one of the major urban centers of Medak district.
  • E. Budhlada
    Budhlada is a town in the Mansa district of Punjab, India, known as a regional commercial and agricultural center.
  • 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_69d8b90aac308190801e2c57d8c5bfe5 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4de38d4e08190bc4d430b70b7e288 completed April 19, 2026, 1:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a038fb93f8481908ea190ce4ec54455 completed May 12, 2026, 8:38 p.m.
NEDg Description generation batch_6a03911462d0819080d6a59fe3b120a1 completed May 12, 2026, 8:44 p.m.
NED2 Entity disambiguation (via description) batch_6a0392a51df48190aab14218f28f129d completed May 12, 2026, 8:50 p.m.
Created at: April 10, 2026, 10:29 a.m.