Triple

T13320156
Position Surface form Disambiguated ID Type / Status
Subject Sempron E317292 entity
Predicate coreName P59725 FINISHED
Object Regor (cut-down)
Regor (cut-down) is a budget-oriented AMD processor core derived from the dual-core Regor design with one core disabled to function as a single-core CPU.
 E1033645 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: Regor (cut-down) | Statement: [Sempron, coreName, Regor (cut-down)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Regor (cut-down)
Context triple: [Sempron, coreName, Regor (cut-down)]
  • A. Rogalin
    Rogalin is a historic village in west-central Poland renowned for its aristocratic palace complex and ancient oak trees.
  • B. Rogasen
    Rogasen is a locality historically associated with the birthplace of the renowned Talmudic scholar and lexicographer Marcus Jastrow.
  • C. Rettig
    Rettig is a surname of German origin borne by various notable individuals across fields such as law, politics, and the arts.
  • D. Gorell
    Gorell is the middle name of Arthur John Robin Gorell Milner, a British computer scientist known for his work in process calculi and concurrency theory.
  • E. Rogiet
    Rogiet is a small village and community in Monmouthshire, southeast Wales, situated near the town of Caldicot and close to the Severn Estuary.
  • 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: Regor (cut-down)
Triple: [Sempron, coreName, Regor (cut-down)]
Generated description
Regor (cut-down) is a budget-oriented AMD processor core derived from the dual-core Regor design with one core disabled to function as a single-core CPU.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Regor (cut-down)
Target entity description: Regor (cut-down) is a budget-oriented AMD processor core derived from the dual-core Regor design with one core disabled to function as a single-core CPU.
  • A. Rogalin
    Rogalin is a historic village in west-central Poland renowned for its aristocratic palace complex and ancient oak trees.
  • B. Rogasen
    Rogasen is a locality historically associated with the birthplace of the renowned Talmudic scholar and lexicographer Marcus Jastrow.
  • C. Rettig
    Rettig is a surname of German origin borne by various notable individuals across fields such as law, politics, and the arts.
  • D. Gorell
    Gorell is the middle name of Arthur John Robin Gorell Milner, a British computer scientist known for his work in process calculi and concurrency theory.
  • E. Rogiet
    Rogiet is a small village and community in Monmouthshire, southeast Wales, situated near the town of Caldicot and close to the Severn Estuary.
  • 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_69d806b4d62c81908d4ced1665414be5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d990faa95481908a7fd297959c062e completed April 11, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69f716ee695c81909ffeeb0901ee66c1 completed May 3, 2026, 9:35 a.m.
NEDg Description generation batch_69f717f4d80c8190a1a95c0f2c83c563 completed May 3, 2026, 9:40 a.m.
NED2 Entity disambiguation (via description) batch_69f718b852808190a2a0fb48424bffb0 completed May 3, 2026, 9:43 a.m.
Created at: April 9, 2026, 9:29 p.m.