Triple

T8248754
Position Surface form Disambiguated ID Type / Status
Subject Netcat E192905 entity
Predicate hasAlias P455 FINISHED
Object nc
nc is a versatile command-line networking utility (the Netcat program) used for reading from and writing to network connections, often called the "Swiss Army knife" of networking.
 E721442 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: nc | Statement: [Netcat, hasAlias, nc]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: nc
Context triple: [Netcat, hasAlias, nc]
  • A. NU
    NU is a leading Japanese national research university located in Nagoya, known for its strong programs in science, engineering, and the humanities.
  • B. NU
    NU is the official two-letter Canada Post abbreviation for the northern Canadian territory of Nunavut.
  • C. NU
    NU is the two-letter ISO 3166 country code for Niue, a small island nation in the South Pacific Ocean.
  • D. NU
    NU is the vehicle registration code used on license plates for the district of Neu-Ulm in Bavaria, Germany.
  • E. NE
    NE is the common abbreviation for the New England Revolution, a professional Major League Soccer club based in the Greater Boston area.
  • 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: nc
Triple: [Netcat, hasAlias, nc]
Generated description
nc is a versatile command-line networking utility (the Netcat program) used for reading from and writing to network connections, often called the "Swiss Army knife" of networking.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: nc
Target entity description: nc is a versatile command-line networking utility (the Netcat program) used for reading from and writing to network connections, often called the "Swiss Army knife" of networking.
  • A. NU
    NU is the official two-letter Canada Post abbreviation for the northern Canadian territory of Nunavut.
  • B. NU
    NU is a leading Japanese national research university located in Nagoya, known for its strong programs in science, engineering, and the humanities.
  • C. NU
    NU is the two-letter ISO 3166 country code for Niue, a small island nation in the South Pacific Ocean.
  • D. NU
    NU is the vehicle registration code used on license plates for the district of Neu-Ulm in Bavaria, Germany.
  • E. NE
    NE is the common abbreviation for the New England Revolution, a professional Major League Soccer club based in the Greater Boston area.
  • 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_69ca82de7b8c81908d8106f8a53cff9b completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb78c6b3c48190a3ecebf449766124 completed March 31, 2026, 7:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd353888208190941d1c0b7b911cdd completed April 1, 2026, 3:09 p.m.
NEDg Description generation batch_69cd37a71af481909e82aa29ae558c4a completed April 1, 2026, 3:20 p.m.
NED2 Entity disambiguation (via description) batch_69cd4ef034ec8190a4229b21e6088c79 completed April 1, 2026, 4:59 p.m.
Created at: March 30, 2026, 5:48 p.m.