Triple

T14968130
Position Surface form Disambiguated ID Type / Status
Subject Ngari Prefecture E373245 entity
Predicate capital P234 FINISHED
Object Shiquanhe
Shiquanhe is a remote town in western Tibet that serves as the main administrative and commercial hub of the Ngari region on the Tibetan Plateau.
E1130086 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: Shiquanhe | Statement: [Ngari Prefecture, capital, Shiquanhe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shiquanhe
Context triple: [Ngari Prefecture, capital, Shiquanhe]
  • A. Qinghe
    Qinghe is a subdistrict in Beijing’s Haidian District, known primarily as a residential and administrative area within the city’s northwestern urban zone.
  • B. Longqing
    Longqing was the era name of a brief but notable period of the Ming dynasty in China, associated with the reign of the Longqing Emperor in the 16th century.
  • C. Yingqin
    Yingqin is the given name of He Yingqin, a prominent Chinese Nationalist military leader and politician of the early 20th century.
  • D. Xingyuan
    Xingyuan was the Chinese era name used during part of Emperor Dezong of Tang’s reign in the late eighth century.
  • E. Heqing
    Heqing was an era name used during the Northern Qi dynasty in imperial China to designate a specific reign period.
  • 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: Shiquanhe
Triple: [Ngari Prefecture, capital, Shiquanhe]
Generated description
Shiquanhe is a remote town in western Tibet that serves as the main administrative and commercial hub of the Ngari region on the Tibetan Plateau.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Shiquanhe
Target entity description: Shiquanhe is a remote town in western Tibet that serves as the main administrative and commercial hub of the Ngari region on the Tibetan Plateau.
  • A. Qinghe
    Qinghe is a subdistrict in Beijing’s Haidian District, known primarily as a residential and administrative area within the city’s northwestern urban zone.
  • B. Longqing
    Longqing was the era name of a brief but notable period of the Ming dynasty in China, associated with the reign of the Longqing Emperor in the 16th century.
  • C. Yingqin
    Yingqin is the given name of He Yingqin, a prominent Chinese Nationalist military leader and politician of the early 20th century.
  • D. Xingyuan
    Xingyuan was the Chinese era name used during part of Emperor Dezong of Tang’s reign in the late eighth century.
  • E. Heqing
    Heqing was an era name used during the Northern Qi dynasty in imperial China to designate a specific reign period.
  • 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_69d85ccbbcd48190acb56e7cf104d8ad completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded6e44cb0819096e09f8026ef8174 completed April 15, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe8be4b0a88190989022108a58370d completed May 9, 2026, 1:20 a.m.
NEDg Description generation batch_69fe8f4984088190a986a0c46a3e813e completed May 9, 2026, 1:35 a.m.
NED2 Entity disambiguation (via description) batch_69fe8fbe0e048190b9ce27737ff7d0c3 completed May 9, 2026, 1:37 a.m.
Created at: April 10, 2026, 2:48 a.m.