Triple

T8052696
Position Surface form Disambiguated ID Type / Status
Subject Salt Range E187712 entity
Predicate highestPoint P210 FINISHED
Object Sakesar
Sakesar is a prominent mountain peak in Pakistan’s Punjab region, known for its scenic views, cooler climate, and strategic location within the Salt Range.
 E720154 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: Sakesar | Statement: [Salt Range, highestPoint, Sakesar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sakesar
Context triple: [Salt Range, highestPoint, Sakesar]
  • A. Sachkhere
    Sachkhere is a town in western Georgia known as a local administrative and economic center in the Imereti region.
  • B. Surkhob
    Surkhob is the historical name of a major river in Central Asia that forms part of what is now known as the Vakhsh River in Tajikistan.
  • C. Bhabra
    Bhabra is a town in the Alirajpur district of Madhya Pradesh, India, known as the birthplace of Indian revolutionary Chandra Shekhar Azad.
  • D. Sikar
    Sikar is a prominent city in northern India known for its historic havelis, educational institutions, and role as a commercial hub in the Shekhawati region.
  • E. Khadakwasla
    Khadakwasla is a suburban area near Pune in Maharashtra, India, known for its lake, dam, and military establishments.
  • 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: Sakesar
Triple: [Salt Range, highestPoint, Sakesar]
Generated description
Sakesar is a prominent mountain peak in Pakistan’s Punjab region, known for its scenic views, cooler climate, and strategic location within the Salt Range.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sakesar
Target entity description: Sakesar is a prominent mountain peak in Pakistan’s Punjab region, known for its scenic views, cooler climate, and strategic location within the Salt Range.
  • A. Sachkhere
    Sachkhere is a town in western Georgia known as a local administrative and economic center in the Imereti region.
  • B. Surkhob
    Surkhob is the historical name of a major river in Central Asia that forms part of what is now known as the Vakhsh River in Tajikistan.
  • C. Bhabra
    Bhabra is a town in the Alirajpur district of Madhya Pradesh, India, known as the birthplace of Indian revolutionary Chandra Shekhar Azad.
  • D. Sikar
    Sikar is a prominent city in northern India known for its historic havelis, educational institutions, and role as a commercial hub in the Shekhawati region.
  • E. Khadakwasla
    Khadakwasla is a suburban area near Pune in Maharashtra, India, known for its lake, dam, and military establishments.
  • 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_69ca82b15e948190a62fd7af5218426a completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3f7c425c8190aa1b2f534afeb58c completed March 31, 2026, 3:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd341a2d2081909e812361025dc1cb completed April 1, 2026, 3:04 p.m.
NEDg Description generation batch_69cd36ecc1d88190a978f1d51b0e1382 completed April 1, 2026, 3:17 p.m.
NED2 Entity disambiguation (via description) batch_69cd4e7822e48190bb573162f224bd8c completed April 1, 2026, 4:57 p.m.
Created at: March 30, 2026, 5:25 p.m.