Triple

T8248142
Position Surface form Disambiguated ID Type / Status
Subject Nmap E192896 entity
Predicate hasComponent P35 FINISHED
Object Nping
Nping is a network packet generation and response analysis tool that comes bundled with the Nmap security scanner suite.
 E721415 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: Nping | Statement: [Nmap, hasComponent, Nping]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nping
Context triple: [Nmap, hasComponent, Nping]
  • A. Ping
    Ping is a comic yet poignant ministerial official in Giacomo Puccini’s opera "Turandot," known for his lyrical reflections on home and the burdens of courtly duty.
  • B. Penipe
    Penipe is a small town and canton in central Ecuador known for its agricultural economy and proximity to the active Tungurahua volcano.
  • C. Piipaash
    Piipaash are a Native American people of the lower Colorado River region, closely related to the Maricopa and known for their distinct language and cultural traditions.
  • D. Pylon
    Pylon was an influential American post-punk band from Athens, Georgia, known for its angular guitar sound and role in the early alternative rock scene.
  • E. Nym
    Nym is a minor, cynical follower of Falstaff in Shakespeare’s plays, known for his terse, repetitive speech and role as a comic soldier.
  • 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: Nping
Triple: [Nmap, hasComponent, Nping]
Generated description
Nping is a network packet generation and response analysis tool that comes bundled with the Nmap security scanner suite.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nping
Target entity description: Nping is a network packet generation and response analysis tool that comes bundled with the Nmap security scanner suite.
  • A. Ping
    Ping is a comic yet poignant ministerial official in Giacomo Puccini’s opera "Turandot," known for his lyrical reflections on home and the burdens of courtly duty.
  • B. Penipe
    Penipe is a small town and canton in central Ecuador known for its agricultural economy and proximity to the active Tungurahua volcano.
  • C. Piipaash
    Piipaash are a Native American people of the lower Colorado River region, closely related to the Maricopa and known for their distinct language and cultural traditions.
  • D. Pylon
    Pylon was an influential American post-punk band from Athens, Georgia, known for its angular guitar sound and role in the early alternative rock scene.
  • E. Nym
    Nym is a minor, cynical follower of Falstaff in Shakespeare’s plays, known for his terse, repetitive speech and role as a comic soldier.
  • 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_69cd3530ca148190a28761622d0cf663 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.