Triple

T2792283
Position Surface form Disambiguated ID Type / Status
Subject GNU Core Utilities E61956 entity
Predicate contains P35 FINISHED
Object dd
dd is a Unix command-line utility used to convert and copy raw data at a low level, often for tasks like disk imaging and backup.
 E299159 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: dd | Statement: [GNU Core Utilities, contains, dd]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: dd
Context triple: [GNU Core Utilities, contains, dd]
  • A. DD
    DD is the official vehicle registration code assigned to the Indian union territory of Dadra and Nagar Haveli and Daman and Diu.
  • B. DD
    DD is the stock ticker symbol for DuPont, a major American chemicals and materials company known for innovations such as nylon, Kevlar, and Teflon.
  • C. DD
    DD is the vehicle registration code used on license plates for the German city of Dresden.
  • D. DiDi
    DiDi is a major Chinese ride-hailing and mobility technology company that operates a platform for on-demand transportation and related services.
  • E. DiDi
    DiDi is an American professional basketball player known for her defensive prowess and collegiate success with the Baylor Lady Bears.
  • 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: dd
Triple: [GNU Core Utilities, contains, dd]
Generated description
dd is a Unix command-line utility used to convert and copy raw data at a low level, often for tasks like disk imaging and backup.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: dd
Target entity description: dd is a Unix command-line utility used to convert and copy raw data at a low level, often for tasks like disk imaging and backup.
  • A. DD
    DD is the official vehicle registration code assigned to the Indian union territory of Dadra and Nagar Haveli and Daman and Diu.
  • B. DD
    DD is the stock ticker symbol for DuPont, a major American chemicals and materials company known for innovations such as nylon, Kevlar, and Teflon.
  • C. DD
    DD is the vehicle registration code used on license plates for the German city of Dresden.
  • D. DiDi
    DiDi is a major Chinese ride-hailing and mobility technology company that operates a platform for on-demand transportation and related services.
  • E. DiDi
    DiDi is an American professional basketball player known for her defensive prowess and collegiate success with the Baylor Lady Bears.
  • 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_69abddd107ac81908eb1a6946834eee3 completed March 7, 2026, 8:12 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.