Triple

T7920725
Position Surface form Disambiguated ID Type / Status
Subject PDP-11 E183936 entity
Predicate hasRegister P4184 FINISHED
Object R6 (stack pointer)
R6 (stack pointer) is the dedicated hardware register on the PDP-11 used to manage the call stack and control subroutine linkage.
 E697036 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: R6 (stack pointer) | Statement: [PDP-11, hasRegister, R6 (stack pointer)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: R6 (stack pointer)
Context triple: [PDP-11, hasRegister, R6 (stack pointer)]
  • A. R68
    The R68 is a class of New York City Subway cars built in the 1980s for the B Division, known for their stainless-steel bodies and use on various lettered lines.
  • B. R68A
    R68A is a class of New York City Subway cars built in the late 1980s for B Division services, known for their stainless-steel bodies and use on lines such as the B and D.
  • C. R-4
    The R-4 is a World War II–era Sikorsky helicopter recognized as the first mass-produced helicopter and the first to be used operationally by the U.S. military.
  • D. R9
    R9 is the iconic nickname of Brazilian football legend Ronaldo Luís Nazário de Lima, renowned as one of the greatest strikers in the history of the sport.
  • E. R4
    R4 is a government office building in Oslo that forms part of Norway’s central Regjeringskvartalet complex.
  • 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: R6 (stack pointer)
Triple: [PDP-11, hasRegister, R6 (stack pointer)]
Generated description
R6 (stack pointer) is the dedicated hardware register on the PDP-11 used to manage the call stack and control subroutine linkage.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: R6 (stack pointer)
Target entity description: R6 (stack pointer) is the dedicated hardware register on the PDP-11 used to manage the call stack and control subroutine linkage.
  • A. R68
    The R68 is a class of New York City Subway cars built in the 1980s for the B Division, known for their stainless-steel bodies and use on various lettered lines.
  • B. R68A
    R68A is a class of New York City Subway cars built in the late 1980s for B Division services, known for their stainless-steel bodies and use on lines such as the B and D.
  • C. R-4
    The R-4 is a World War II–era Sikorsky helicopter recognized as the first mass-produced helicopter and the first to be used operationally by the U.S. military.
  • D. R9
    R9 is the iconic nickname of Brazilian football legend Ronaldo Luís Nazário de Lima, renowned as one of the greatest strikers in the history of the sport.
  • E. R4
    R4 is a government office building in Oslo that forms part of Norway’s central Regjeringskvartalet complex.
  • 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_69ca828efbe48190bd48482650182e79 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3a9360f881908ca2433d0623315b completed March 31, 2026, 3:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5beea7988190972f7d02881d98f6 completed March 31, 2026, 5:30 a.m.
NEDg Description generation batch_69cb5f222c808190b9ef39896f149278 completed March 31, 2026, 5:44 a.m.
NED2 Entity disambiguation (via description) batch_69cb76bb9a308190a9d7b34838d696db completed March 31, 2026, 7:24 a.m.
Created at: March 30, 2026, 5:06 p.m.