Triple

T17107727
Position Surface form Disambiguated ID Type / Status
Subject Bey E415143 entity
Predicate etymologicallyRelatedTo P5801 FINISHED
Object Beğ
Beğ is a historical Turkic title of nobility and leadership, roughly equivalent to "chieftain" or "lord," used across various Turkic and neighboring cultures.
 E1251519 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: Beğ | Statement: [Bey, etymologicallyRelatedTo, Beğ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Beğ
Context triple: [Bey, etymologicallyRelatedTo, Beğ]
  • A. Beyeler
    Beyeler is a Swiss surname most prominently associated with Ernst Beyeler, a renowned art dealer and founder of the Fondation Beyeler museum.
  • B. Beylikova
    Beylikova is a small town and district in central Turkey known for its agricultural activities and location within Eskişehir Province.
  • C. Beşevler
    Beşevler is a neighborhood in Bursa, Turkey, known for its educational institutions and urban residential character.
  • D. Bahşili
    Bahşili is a small town and district in central Turkey known for its rural character within Kırıkkale Province.
  • E. Bekabad
    Bekabad is an industrial city in eastern Uzbekistan known for its steel production and location along the Syr Darya River.
  • 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: Beğ
Triple: [Bey, etymologicallyRelatedTo, Beğ]
Generated description
Beğ is a historical Turkic title of nobility and leadership, roughly equivalent to "chieftain" or "lord," used across various Turkic and neighboring cultures.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Beğ
Target entity description: Beğ is a historical Turkic title of nobility and leadership, roughly equivalent to "chieftain" or "lord," used across various Turkic and neighboring cultures.
  • A. Beyeler
    Beyeler is a Swiss surname most prominently associated with Ernst Beyeler, a renowned art dealer and founder of the Fondation Beyeler museum.
  • B. Beylikova
    Beylikova is a small town and district in central Turkey known for its agricultural activities and location within Eskişehir Province.
  • C. Beşevler
    Beşevler is a neighborhood in Bursa, Turkey, known for its educational institutions and urban residential character.
  • D. Bahşili
    Bahşili is a small town and district in central Turkey known for its rural character within Kırıkkale Province.
  • E. Bekabad
    Bekabad is an industrial city in eastern Uzbekistan known for its steel production and location along the Syr Darya River.
  • 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_69d886d090cc8190a39cb94992586905 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dc280b0c8190b9e620b90e0d4b40 completed April 18, 2026, 7:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a013a019540819083ce6100b24f8cfb completed May 11, 2026, 2:08 a.m.
NEDg Description generation batch_6a013caf2fc48190912862b2e79d2d7f completed May 11, 2026, 2:19 a.m.
NED2 Entity disambiguation (via description) batch_6a013d65bd5c8190b8355533d2d4ac40 completed May 11, 2026, 2:22 a.m.
Created at: April 10, 2026, 5:35 a.m.