Triple

T12494631
Position Surface form Disambiguated ID Type / Status
Subject TCP Wrapper E298651 entity
Predicate component P35 FINISHED
Object tcpd
tcpd is the daemon program used by TCP Wrappers to mediate and control incoming network service connections based on access control rules.
E987496 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: tcpd | Statement: [TCP Wrapper, component, tcpd]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: tcpd
Context triple: [TCP Wrapper, component, tcpd]
  • A. TTCP
    TTCP is the ICAO airport code for A.N.R. Robinson International Airport, the main international gateway to Tobago in Trinidad and Tobago.
  • B. TFTP
    TFTP (Trivial File Transfer Protocol) is a simple, lightweight file transfer protocol commonly used for tasks like network booting and device configuration in constrained environments.
  • C. TCDP
    TCDP is a specialized committee within the IEEE Computer Society that focuses on advancing research, standards, and community activities in distributed computing and distributed systems.
  • D. Netcat
    Netcat is a versatile command-line networking utility used for reading from and writing to network connections, often referred to as the "Swiss Army knife" of TCP/IP.
  • E. TUN
    TUN is the three-letter ISO 3166-1 alpha-3 country code assigned to Tunisia.
  • 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: tcpd
Triple: [TCP Wrapper, component, tcpd]
Generated description
tcpd is the daemon program used by TCP Wrappers to mediate and control incoming network service connections based on access control rules.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: tcpd
Target entity description: tcpd is the daemon program used by TCP Wrappers to mediate and control incoming network service connections based on access control rules.
  • A. TTCP
    TTCP is the ICAO airport code for A.N.R. Robinson International Airport, the main international gateway to Tobago in Trinidad and Tobago.
  • B. TFTP
    TFTP (Trivial File Transfer Protocol) is a simple, lightweight file transfer protocol commonly used for tasks like network booting and device configuration in constrained environments.
  • C. TCDP
    TCDP is a specialized committee within the IEEE Computer Society that focuses on advancing research, standards, and community activities in distributed computing and distributed systems.
  • D. Netcat
    Netcat is a versatile command-line networking utility used for reading from and writing to network connections, often referred to as the "Swiss Army knife" of TCP/IP.
  • E. TUN
    TUN is the three-letter ISO 3166-1 alpha-3 country code assigned to Tunisia.
  • 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_69d6ada377208190a36011199a4d8558 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94de4089c8190917a45365e641437 completed April 10, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64badad488190ae1c6c2883a88a4b completed May 2, 2026, 7:08 p.m.
NEDg Description generation batch_69f64f9c0e8c81908db3cad51daa77b6 completed May 2, 2026, 7:25 p.m.
NED2 Entity disambiguation (via description) batch_69f6504b033c8190a31f49f2e59c6810 completed May 2, 2026, 7:28 p.m.
Created at: April 8, 2026, 9:56 p.m.