Triple

T12514706
Position Surface form Disambiguated ID Type / Status
Subject GNU As E299165 entity
Predicate supportsTarget P5090 FINISHED
Object LM32
LM32 is a 32-bit soft microprocessor core architecture developed by Lattice Semiconductor, commonly used in FPGA-based embedded systems.
 E986962 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: LM32 | Statement: [GNU As, supportsTarget, LM32]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LM32
Context triple: [GNU As, supportsTarget, LM32]
  • A. LC-36
    LC-36 is a historic launch complex at Cape Canaveral in Florida that has been used for numerous Atlas rocket launches and planetary missions.
  • B. LC-34
    LC-34 is a historic launch complex at Cape Canaveral used for early Apollo missions and associated with key milestones and tragedies in the U.S. space program.
  • C. QM32
    QM32 is an express bus route in New York City that provides commuter service between Bay Terrace in Queens and Manhattan.
  • D. LC-36B
    LC-36B is one of the two historical Atlas rocket launch pads at Cape Canaveral’s Launch Complex 36, used extensively during the early U.S. space and planetary exploration programs.
  • E. LC-36A
    LC-36A is one of the launch pads at Cape Canaveral’s Launch Complex 36, historically used for Atlas rocket launches.
  • 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: LM32
Triple: [GNU As, supportsTarget, LM32]
Generated description
LM32 is a 32-bit soft microprocessor core architecture developed by Lattice Semiconductor, commonly used in FPGA-based embedded systems.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LM32
Target entity description: LM32 is a 32-bit soft microprocessor core architecture developed by Lattice Semiconductor, commonly used in FPGA-based embedded systems.
  • A. LC-36
    LC-36 is a historic launch complex at Cape Canaveral in Florida that has been used for numerous Atlas rocket launches and planetary missions.
  • B. LC-34
    LC-34 is a historic launch complex at Cape Canaveral used for early Apollo missions and associated with key milestones and tragedies in the U.S. space program.
  • C. QM32
    QM32 is an express bus route in New York City that provides commuter service between Bay Terrace in Queens and Manhattan.
  • D. LC-36B
    LC-36B is one of the two historical Atlas rocket launch pads at Cape Canaveral’s Launch Complex 36, used extensively during the early U.S. space and planetary exploration programs.
  • E. LC-36A
    LC-36A is one of the launch pads at Cape Canaveral’s Launch Complex 36, historically used for Atlas rocket launches.
  • 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_69d6ada5cdd48190860d9ce30aff69be completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d9541e752c8190bf12d2b5a37b53df completed April 10, 2026, 7:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64bbd58b88190baeb99380babf64f completed May 2, 2026, 7:08 p.m.
NEDg Description generation batch_69f64ce1b0ec8190bcbd245255e548b5 completed May 2, 2026, 7:13 p.m.
NED2 Entity disambiguation (via description) batch_69f64da735f48190b051ce173c13e5b2 completed May 2, 2026, 7:16 p.m.
Created at: April 8, 2026, 9:57 p.m.