Triple

T22158030
Position Surface form Disambiguated ID Type / Status
Subject Luntai E547591 entity
Predicate hasAlternativeName P39 FINISHED
Object Bügür
Bügür is an alternative name for Luntai, a county in Xinjiang, China, located along the historic Silk Road.
E1522252 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: Bügür | Statement: [Luntai, hasAlternativeName, Bügür]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bügür
Context triple: [Luntai, hasAlternativeName, Bügür]
  • A. Bugulma
    Bugulma is a town in the Republic of Tatarstan, Russia, known as an industrial and cultural center in the southeastern part of the region.
  • B. Bugalhos
    Bugalhos is a civil parish in the municipality of Alcanena, located in central Portugal.
  • C. Brüttelen
    Brüttelen is a small municipality in the canton of Bern in Switzerland, known for its rural character and location in the Seeland region.
  • D. Bagirmi
    Bagirmi is a Central Sudanic language spoken primarily in southern Chad by the Bagirmi people.
  • E. Buglere
    Buglere is an indigenous language spoken by the Buglere people of Panama, belonging to the Chibchan language family.
  • 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: Bügür
Triple: [Luntai, hasAlternativeName, Bügür]
Generated description
Bügür is an alternative name for Luntai, a county in Xinjiang, China, located along the historic Silk Road.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bügür
Target entity description: Bügür is an alternative name for Luntai, a county in Xinjiang, China, located along the historic Silk Road.
  • A. Bugulma
    Bugulma is a town in the Republic of Tatarstan, Russia, known as an industrial and cultural center in the southeastern part of the region.
  • B. Bugalhos
    Bugalhos is a civil parish in the municipality of Alcanena, located in central Portugal.
  • C. Brüttelen
    Brüttelen is a small municipality in the canton of Bern in Switzerland, known for its rural character and location in the Seeland region.
  • D. Bagirmi
    Bagirmi is a Central Sudanic language spoken primarily in southern Chad by the Bagirmi people.
  • E. Buglere
    Buglere is an indigenous language spoken by the Buglere people of Panama, belonging to the Chibchan language family.
  • 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_69e11e3b52088190ad5df386d01eb2fb completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f12a2aadb48190b4d739d1df9529db completed April 28, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a970c925481908d8f1135703f7050 completed May 18, 2026, 4:35 a.m.
NEDg Description generation batch_6a0a97e509a88190a7f316cf340d010a completed May 18, 2026, 4:39 a.m.
NED2 Entity disambiguation (via description) batch_6a0a987daa208190bab5b7adec1913e8 completed May 18, 2026, 4:41 a.m.
Created at: April 16, 2026, 8:33 p.m.