Triple

T15799804
Position Surface form Disambiguated ID Type / Status
Subject LM-series analog ICs E383067 entity
Predicate hasNotableMember P304 FINISHED
Object LM35
The LM35 is a precision analog temperature sensor integrated circuit that provides an output voltage linearly proportional to temperature in degrees Celsius.
 E1177228 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: LM35 | Statement: [LM-series analog ICs, hasNotableMember, LM35]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LM35
Context triple: [LM-series analog ICs, hasNotableMember, LM35]
  • A. Steinhart
    Steinhart is a fictional character appearing in the work titled "The Grave."
  • B. LM32
    LM32 is a 32-bit soft microprocessor core architecture developed by Lattice Semiconductor, commonly used in FPGA-based embedded systems.
  • C. RTD
    RTD is the commonly used abbreviation for the ASME Rail Transportation Division, a professional group focused on rail engineering and technology within the American Society of Mechanical Engineers.
  • D. RTD
    RTD was the former name of Arquus, a French manufacturer specializing in military and defense vehicles.
  • E. RTD
    RTD is the primary public transit agency serving the Denver metropolitan area in Colorado, operating buses, light rail, and commuter rail services.
  • 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: LM35
Triple: [LM-series analog ICs, hasNotableMember, LM35]
Generated description
The LM35 is a precision analog temperature sensor integrated circuit that provides an output voltage linearly proportional to temperature in degrees Celsius.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LM35
Target entity description: The LM35 is a precision analog temperature sensor integrated circuit that provides an output voltage linearly proportional to temperature in degrees Celsius.
  • A. Steinhart
    Steinhart is a fictional character appearing in the work titled "The Grave."
  • B. LM32
    LM32 is a 32-bit soft microprocessor core architecture developed by Lattice Semiconductor, commonly used in FPGA-based embedded systems.
  • C. RTD
    RTD is the commonly used abbreviation for the ASME Rail Transportation Division, a professional group focused on rail engineering and technology within the American Society of Mechanical Engineers.
  • D. RTD
    RTD was the former name of Arquus, a French manufacturer specializing in military and defense vehicles.
  • E. RTD
    RTD is the primary public transit agency serving the Denver metropolitan area in Colorado, operating buses, light rail, and commuter rail services.
  • 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_69d86da16e188190b89af699f1ed0bfe completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0b4e135b08190b736e77bac5e2bff completed April 16, 2026, 10:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff90b08ab48190892c700f5eb261d8 completed May 9, 2026, 7:53 p.m.
NEDg Description generation batch_69ff936cbbc8819097958ac02673a474 completed May 9, 2026, 8:05 p.m.
NED2 Entity disambiguation (via description) batch_69ff93ed15ec8190b9361f7ad4c7e447 completed May 9, 2026, 8:07 p.m.
Created at: April 10, 2026, 4:48 a.m.