Triple

T73241
Position Surface form Disambiguated ID Type / Status
Subject IEEE 1149.1 JTAG boundary-scan standard E1466 entity
Predicate definesSignal P773 FINISHED
Object TDI
TDI (Test Data In) is the serial input pin used in JTAG boundary-scan to feed test instructions and data into a device’s test access port.
 E6442 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: TDI | Statement: [IEEE 1149.1 JTAG boundary-scan standard, definesSignal, TDI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: TDI
Context triple: [IEEE 1149.1 JTAG boundary-scan standard, definesSignal, TDI]
  • A. TEC
    TEC is the commonly used acronym for the Episcopal Church, a mainline Anglican Christian denomination based in the United States.
  • B. TNT
    TNT is an American cable television network known for airing sports, movies, and original drama programming.
  • C. KIAD
    KIAD is the ICAO airport code for Washington Dulles International Airport, a major international air travel hub serving the Washington, D.C. metropolitan area.
  • D. DDI
    DDI is the abbreviation for the Directorate of Digital Innovation, a CIA directorate focused on advancing the agency’s digital and cyber capabilities.
  • E. DELTA
    DELTA is the radio callsign used by pilots and air traffic control to identify and communicate with Delta Air Lines flights.
  • 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: TDI
Triple: [IEEE 1149.1 JTAG boundary-scan standard, definesSignal, TDI]
Generated description
TDI (Test Data In) is the serial input pin used in JTAG boundary-scan to feed test instructions and data into a device’s test access port.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: TDI
Target entity description: TDI (Test Data In) is the serial input pin used in JTAG boundary-scan to feed test instructions and data into a device’s test access port.
  • A. TEC
    TEC is the commonly used acronym for the Episcopal Church, a mainline Anglican Christian denomination based in the United States.
  • B. TNT
    TNT is an American cable television network known for airing sports, movies, and original drama programming.
  • C. KIAD
    KIAD is the ICAO airport code for Washington Dulles International Airport, a major international air travel hub serving the Washington, D.C. metropolitan area.
  • D. DDI
    DDI is the abbreviation for the Directorate of Digital Innovation, a CIA directorate focused on advancing the agency’s digital and cyber capabilities.
  • E. DELTA
    DELTA is the radio callsign used by pilots and air traffic control to identify and communicate with Delta Air Lines flights.
  • 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_69a24c06b3bc8190aa4ac89026115efc completed Feb. 28, 2026, 1:59 a.m.
NER Named-entity recognition batch_69a2567b592c8190aaf692a18fcd2f1b completed Feb. 28, 2026, 2:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69a25abaa7dc8190b65fa9d213a40790 completed Feb. 28, 2026, 3:02 a.m.
NEDg Description generation batch_69a25ba974948190bb064dca99613bc6 completed Feb. 28, 2026, 3:06 a.m.
NED2 Entity disambiguation (via description) batch_69a25c2b29e08190af62c6753c4fdd11 completed Feb. 28, 2026, 3:08 a.m.
Created at: Feb. 28, 2026, 2:03 a.m.