Triple

T13957363
Position Surface form Disambiguated ID Type / Status
Subject Batura Muztagh E335700 entity
Predicate hasPeak P8205 FINISHED
Object Sangemarmar Sar
Sangemarmar Sar is a high, glaciated mountain peak in the Batura Muztagh subrange of the Karakoram in northern Pakistan.
E1071620 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: Sangemarmar Sar | Statement: [Batura Muztagh, hasPeak, Sangemarmar Sar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sangemarmar Sar
Context triple: [Batura Muztagh, hasPeak, Sangemarmar Sar]
  • A. Sangisari
    Sangisari is an Iranian language spoken by the Sangisari people in the Semnan Province of north-central Iran.
  • 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. Shahrbani
    Shahrbani was the former national police force of Iran responsible for maintaining public order and security before being merged into the current Law Enforcement Command of the Islamic Republic of Iran.
  • D. Alvand
    Alvand is an industrial satellite city near Qazvin in northwestern Iran, known for its manufacturing activities and residential role for workers in the region.
  • E. Sorkheh
    Sorkheh is a small city in north-central Iran known for its location within Semnan Province and its semi-arid climate.
  • 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: Sangemarmar Sar
Triple: [Batura Muztagh, hasPeak, Sangemarmar Sar]
Generated description
Sangemarmar Sar is a high, glaciated mountain peak in the Batura Muztagh subrange of the Karakoram in northern Pakistan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sangemarmar Sar
Target entity description: Sangemarmar Sar is a high, glaciated mountain peak in the Batura Muztagh subrange of the Karakoram in northern Pakistan.
  • A. Sangisari
    Sangisari is an Iranian language spoken by the Sangisari people in the Semnan Province of north-central Iran.
  • 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. Shahrbani
    Shahrbani was the former national police force of Iran responsible for maintaining public order and security before being merged into the current Law Enforcement Command of the Islamic Republic of Iran.
  • D. Alvand
    Alvand is an industrial satellite city near Qazvin in northwestern Iran, known for its manufacturing activities and residential role for workers in the region.
  • E. Sorkheh
    Sorkheh is a small city in north-central Iran known for its location within Semnan Province and its semi-arid climate.
  • 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_69d81c61f3508190aaf2ca0dc0002c59 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2e7a34f08190aa0d88b66154f268 completed April 14, 2026, 12:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69fba1d27a0c8190b5d95ea86fc1a420 completed May 6, 2026, 8:17 p.m.
NEDg Description generation batch_69fba6af4ed881908cb4b79cfa40977c completed May 6, 2026, 8:38 p.m.
NED2 Entity disambiguation (via description) batch_69fba71a91fc8190b24185994673b33b completed May 6, 2026, 8:39 p.m.
Created at: April 9, 2026, 10:17 p.m.