Triple

T2792804
Position Surface form Disambiguated ID Type / Status
Subject GNU Diffutils E61966 entity
Predicate includesUtility P16605 FINISHED
Object diff3
diff3 is a GNU Diffutils command-line program that compares and merges three versions of a file, commonly used for resolving merge conflicts.
 E299207 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: diff3 | Statement: [GNU Diffutils, includesUtility, diff3]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: diff3
Context triple: [GNU Diffutils, includesUtility, diff3]
  • A. DIF
    DIF is the acronym for the Deposit Insurance Fund, a financial reserve used to protect depositors by covering insured deposits when banks fail.
  • B. D3
    D3 is one of the commuter rail lines of the Moscow Central Diameters urban rail system, connecting Moscow with its surrounding suburbs.
  • C. D3
    D3 is the commonly used abbreviation for California Department of Transportation's District 3, which oversees state transportation infrastructure in part of Northern California.
  • D. DSF
    DSF was a mass organization in East Germany dedicated to promoting political, cultural, and social ties between the German Democratic Republic and the Soviet Union.
  • 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: diff3
Triple: [GNU Diffutils, includesUtility, diff3]
Generated description
diff3 is a GNU Diffutils command-line program that compares and merges three versions of a file, commonly used for resolving merge conflicts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: diff3
Target entity description: diff3 is a GNU Diffutils command-line program that compares and merges three versions of a file, commonly used for resolving merge conflicts.
  • A. DIF
    DIF is the acronym for the Deposit Insurance Fund, a financial reserve used to protect depositors by covering insured deposits when banks fail.
  • B. D3
    D3 is the commonly used abbreviation for California Department of Transportation's District 3, which oversees state transportation infrastructure in part of Northern California.
  • C. D3
    D3 is one of the commuter rail lines of the Moscow Central Diameters urban rail system, connecting Moscow with its surrounding suburbs.
  • D. DSF
    DSF was a mass organization in East Germany dedicated to promoting political, cultural, and social ties between the German Democratic Republic and the Soviet Union.
  • 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_69ab4b7f51d881908768300ebd2fbdae completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abe0895e5881909702e69aaee5c425 completed March 7, 2026, 8:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc65ebe788190859012e930918b05 completed March 10, 2026, 7:21 a.m.
NEDg Description generation batch_69afc6c6c620819098b76db174a6f98e completed March 10, 2026, 7:22 a.m.
NED2 Entity disambiguation (via description) batch_69afc72b2e3c8190aad78ac8924f07af completed March 10, 2026, 7:24 a.m.
Created at: March 6, 2026, 9:58 p.m.