Triple

T6108452
Position Surface form Disambiguated ID Type / Status
Subject Borjigin E136172 entity
Predicate hasNotableMember P304 FINISHED
Object Alghu
Alghu was a 13th-century Mongol prince of the Borjigin clan who ruled parts of Central Asia as a Chagatai khan during the early Mongol Empire.
 E569322 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: Alghu | Statement: [Borjigin, hasNotableMember, Alghu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Alghu
Context triple: [Borjigin, hasNotableMember, Alghu]
  • A. Algete
    Algete is a municipality in the Community of Madrid, Spain, located to the north of the capital and characterized by its mix of residential areas and surrounding agricultural land.
  • B. Aghul
    Aghul is a Northeast Caucasian language spoken by the Aghul people in southern Dagestan, Russia.
  • C. Anga
    Anga was an ancient kingdom in the eastern Indian subcontinent, often noted in epic literature as the realm ruled by the warrior Karna.
  • D. Alinghi
    Alinghi is a Swiss sailing team best known for winning and later defending the America's Cup in the early 2000s.
  • E. Alnôba
    Alnôba is an Indigenous Algonquian language traditionally spoken by the Western Abenaki people of northeastern North America.
  • 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: Alghu
Triple: [Borjigin, hasNotableMember, Alghu]
Generated description
Alghu was a 13th-century Mongol prince of the Borjigin clan who ruled parts of Central Asia as a Chagatai khan during the early Mongol Empire.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Alghu
Target entity description: Alghu was a 13th-century Mongol prince of the Borjigin clan who ruled parts of Central Asia as a Chagatai khan during the early Mongol Empire.
  • A. Algete
    Algete is a municipality in the Community of Madrid, Spain, located to the north of the capital and characterized by its mix of residential areas and surrounding agricultural land.
  • B. Aghul
    Aghul is a Northeast Caucasian language spoken by the Aghul people in southern Dagestan, Russia.
  • C. Anga
    Anga was an ancient kingdom in the eastern Indian subcontinent, often noted in epic literature as the realm ruled by the warrior Karna.
  • D. Alinghi
    Alinghi is a Swiss sailing team best known for winning and later defending the America's Cup in the early 2000s.
  • E. Alnôba
    Alnôba is an Indigenous Algonquian language traditionally spoken by the Western Abenaki people of northeastern North America.
  • 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_69c0087dee9881909e3655be88208c01 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05b835ed48190971c3ba397ca329f completed March 22, 2026, 9:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1255f03e08190b62cd8ca2c079afb completed March 23, 2026, 11:34 a.m.
NEDg Description generation batch_69c1268cbac48190aae1682b1620ea41 completed March 23, 2026, 11:39 a.m.
NED2 Entity disambiguation (via description) batch_69c1274251c4819090de776c702e4ac8 completed March 23, 2026, 11:42 a.m.
Created at: March 22, 2026, 4:13 p.m.