Triple

T17420528
Position Surface form Disambiguated ID Type / Status
Subject Chamoli district E423599 entity
Predicate contains P35 FINISHED
Object Pipalkoti
Pipalkoti is a small town in Uttarakhand, India, known as a stopover and base for pilgrims and trekkers traveling to Himalayan shrines and high-altitude destinations.
E1268188 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: Pipalkoti | Statement: [Chamoli district, contains, Pipalkoti]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pipalkoti
Context triple: [Chamoli district, contains, Pipalkoti]
  • A. Pipariya
    Pipariya is a town in the Indian state of Madhya Pradesh, known as a key rail and road gateway to the nearby hill station of Pachmarhi.
  • B. Pachhad
    Pachhad is a legislative assembly constituency in the Sirmour district of Himachal Pradesh, India, represented in the state's Vidhan Sabha.
  • C. Bhailsa
    Bhailsa is the former historical name of Vidisha, an ancient city in the central Indian state of Madhya Pradesh known for its rich archaeological and cultural heritage.
  • D. Bhokar
    Bhokar is a legislative assembly constituency in the Nanded district of Maharashtra, India.
  • E. Parchal
    Parchal is a town in Portugal’s Algarve region, situated near the Arade River opposite Portimão and known historically for its fishing and canning industries.
  • 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: Pipalkoti
Triple: [Chamoli district, contains, Pipalkoti]
Generated description
Pipalkoti is a small town in Uttarakhand, India, known as a stopover and base for pilgrims and trekkers traveling to Himalayan shrines and high-altitude destinations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Pipalkoti
Target entity description: Pipalkoti is a small town in Uttarakhand, India, known as a stopover and base for pilgrims and trekkers traveling to Himalayan shrines and high-altitude destinations.
  • A. Pipariya
    Pipariya is a town in the Indian state of Madhya Pradesh, known as a key rail and road gateway to the nearby hill station of Pachmarhi.
  • B. Pachhad
    Pachhad is a legislative assembly constituency in the Sirmour district of Himachal Pradesh, India, represented in the state's Vidhan Sabha.
  • C. Bhailsa
    Bhailsa is the former historical name of Vidisha, an ancient city in the central Indian state of Madhya Pradesh known for its rich archaeological and cultural heritage.
  • D. Bhokar
    Bhokar is a legislative assembly constituency in the Nanded district of Maharashtra, India.
  • E. Parchal
    Parchal is a town in Portugal’s Algarve region, situated near the Arade River opposite Portimão and known historically for its fishing and canning industries.
  • 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_69d889d7d27c819088486ce3f0627fa1 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e442372954819085f332efc7067ae9 completed April 19, 2026, 2:47 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01a8041f548190a076b10516ccfced completed May 11, 2026, 9:57 a.m.
NEDg Description generation batch_6a01a8d7e05c8190aceb0795a430fee7 completed May 11, 2026, 10 a.m.
NED2 Entity disambiguation (via description) batch_6a01a943fdec8190a875c7eb56c742da completed May 11, 2026, 10:02 a.m.
Created at: April 10, 2026, 5:46 a.m.