Triple

T3524860
Position Surface form Disambiguated ID Type / Status
Subject Bridgestone E74512 entity
Predicate brand P1500 FINISHED
Object Bandag
Bandag is a Bridgestone-owned brand best known for its commercial truck tire retreading products and services.
 E364870 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: Bandag | Statement: [Bridgestone, brand, Bandag]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bandag
Context triple: [Bridgestone, brand, Bandag]
  • A. Bandana
    Bandana is a critically acclaimed collaborative hip-hop album by rapper Freddie Gibbs and producer Madlib, known for its intricate lyricism and soulful, sample-heavy production.
  • B. Ban
    Ban was the nickname of Ban Johnson, the influential early 20th-century baseball executive who served as the first president of the American League.
  • C. Banda
    Banda is a city in the Bundelkhand region of Uttar Pradesh, India, known for its historical significance and proximity to the Ken River.
  • D. La Banda
    La Banda is a major city in northern Argentina known for its agricultural economy and proximity to the provincial capital, Santiago del Estero.
  • E. Bad Ragaz
    Bad Ragaz is a Swiss spa and resort town in the canton of St. Gallen, renowned for its thermal baths and alpine setting.
  • 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: Bandag
Triple: [Bridgestone, brand, Bandag]
Generated description
Bandag is a Bridgestone-owned brand best known for its commercial truck tire retreading products and services.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bandag
Target entity description: Bandag is a Bridgestone-owned brand best known for its commercial truck tire retreading products and services.
  • A. Bandana
    Bandana is a critically acclaimed collaborative hip-hop album by rapper Freddie Gibbs and producer Madlib, known for its intricate lyricism and soulful, sample-heavy production.
  • B. Ban
    Ban was the nickname of Ban Johnson, the influential early 20th-century baseball executive who served as the first president of the American League.
  • C. Banda
    Banda is a city in the Bundelkhand region of Uttar Pradesh, India, known for its historical significance and proximity to the Ken River.
  • D. La Banda
    La Banda is a major city in northern Argentina known for its agricultural economy and proximity to the provincial capital, Santiago del Estero.
  • E. Bad Ragaz
    Bad Ragaz is a Swiss spa and resort town in the canton of St. Gallen, renowned for its thermal baths and alpine setting.
  • 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_69ad85d0c5488190a3d8e02ebd01a1aa completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbc68b15881909b407486946ec3c5 completed March 8, 2026, 6:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69b37e8ae87481909eabd5847fbfa617 completed March 13, 2026, 3:03 a.m.
NEDg Description generation batch_69b37eecfe0881909265b48c624be61f completed March 13, 2026, 3:05 a.m.
NED2 Entity disambiguation (via description) batch_69b37f5574b08190bdde80b47f2cb99c completed March 13, 2026, 3:07 a.m.
Created at: March 8, 2026, 3:19 p.m.