Triple

T7032999
Position Surface form Disambiguated ID Type / Status
Subject Intel Pentium Pro E163313 entity
Predicate microarchitecture P11226 FINISHED
Object P6
P6 is Intel’s sixth-generation x86 microarchitecture that introduced out-of-order and speculative execution, forming the basis for later Pentium II/III and early Core designs.
E637110 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: P6 | Statement: [Intel Pentium Pro, microarchitecture, P6]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: P6
Context triple: [Intel Pentium Pro, microarchitecture, P6]
  • A. P5
    P5 is the CERN Large Hadron Collider interaction point that hosts the CMS experiment and associated infrastructure.
  • B. P5
    P5 is a common abbreviation for the “Power Five,” the group of the five most prominent NCAA Division I college athletic conferences in the United States.
  • C. P.
    P. is a common abbreviated form of the Roman praenomen "Publius," frequently used in historical and classical texts.
  • D. P
    P is the vehicle registration code used on license plates for the Lithuanian city of Panevėžys.
  • E. P
    P is the vehicle registration code used on license plates for the Czech city of Plzeň.
  • 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: P6
Triple: [Intel Pentium Pro, microarchitecture, P6]
Generated description
P6 is Intel’s sixth-generation x86 microarchitecture that introduced out-of-order and speculative execution, forming the basis for later Pentium II/III and early Core designs.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: P6
Target entity description: P6 is Intel’s sixth-generation x86 microarchitecture that introduced out-of-order and speculative execution, forming the basis for later Pentium II/III and early Core designs.
  • A. P5
    P5 is the CERN Large Hadron Collider interaction point that hosts the CMS experiment and associated infrastructure.
  • B. P5
    P5 is a common abbreviation for the “Power Five,” the group of the five most prominent NCAA Division I college athletic conferences in the United States.
  • C. P.
    P. is a common abbreviated form of the Roman praenomen "Publius," frequently used in historical and classical texts.
  • D. P
    P is the vehicle registration code used on license plates for the Lithuanian city of Panevėžys.
  • E. P
    P is the vehicle registration code used on license plates for the Czech city of Plzeň.
  • 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_69c6885d691c81908cf7d31083113886 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e2102f8c819080c983319307846a completed March 27, 2026, 8:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7759c8e408190a7d457e77a44ee26 completed March 28, 2026, 6:30 a.m.
NEDg Description generation batch_69c779acac2881909917e12072f66637 completed March 28, 2026, 6:48 a.m.
NED2 Entity disambiguation (via description) batch_69c77a0390248190ba535e7d931a4682 completed March 28, 2026, 6:49 a.m.
Created at: March 27, 2026, 2:36 p.m.