Triple

T16305826
Position Surface form Disambiguated ID Type / Status
Subject Nagqu E395906 entity
Predicate romanization P2508 FINISHED
Object Naqu
Naqu is a high-altitude city and prefecture-level administrative region in northern Tibet, China, known for its vast grasslands and harsh climate.
 E1205462 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: Naqu | Statement: [Nagqu, romanization, Naqu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Naqu
Context triple: [Nagqu, romanization, Naqu]
  • A. Naul
    Naul is a small rural village in north County Dublin, Ireland, known for its scenic countryside and historic features such as The Seamus Ennis Arts Centre.
  • B. Nál
    Nál is a figure in Norse mythology known as the wife of the giant Fárbauti and mother of the trickster god Loki.
  • C. Nal
    Nal is an entity or individual that serves as a point of comparison to Amri, suggesting they share similar characteristics, roles, or contexts.
  • D. Nal
    Nal is a locality in Rajasthan, India, known primarily for hosting Nal Airport, which serves the nearby city of Bikaner.
  • E. Nessa
    Nessa is a Valië in J.R.R. Tolkien’s legendarium, known as the swift, joyful dancer and wife of Tulkas among the Valar.
  • 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: Naqu
Triple: [Nagqu, romanization, Naqu]
Generated description
Naqu is a high-altitude city and prefecture-level administrative region in northern Tibet, China, known for its vast grasslands and harsh climate.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Naqu
Target entity description: Naqu is a high-altitude city and prefecture-level administrative region in northern Tibet, China, known for its vast grasslands and harsh climate.
  • A. Naul
    Naul is a small rural village in north County Dublin, Ireland, known for its scenic countryside and historic features such as The Seamus Ennis Arts Centre.
  • B. Nál
    Nál is a figure in Norse mythology known as the wife of the giant Fárbauti and mother of the trickster god Loki.
  • C. Nal
    Nal is an entity or individual that serves as a point of comparison to Amri, suggesting they share similar characteristics, roles, or contexts.
  • D. Nal
    Nal is a locality in Rajasthan, India, known primarily for hosting Nal Airport, which serves the nearby city of Bikaner.
  • E. Nessa
    Nessa is a Valië in J.R.R. Tolkien’s legendarium, known as the swift, joyful dancer and wife of Tulkas among the Valar.
  • 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_69d87f23bb088190a16fbb91a1957ea5 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e288d5619081909d0f8157cc487877 completed April 17, 2026, 7:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a001fa3353c8190825b31854a97220c completed May 10, 2026, 6:03 a.m.
NEDg Description generation batch_6a0020e282888190bb1d23b4876b4b75 completed May 10, 2026, 6:08 a.m.
NED2 Entity disambiguation (via description) batch_6a0021ba49808190bf69c22bc5c8d4da completed May 10, 2026, 6:12 a.m.
Created at: April 10, 2026, 5:06 a.m.