Triple

T21191653
Position Surface form Disambiguated ID Type / Status
Subject IPsec over TCP E522224 entity
Predicate canUsePort P56804 FINISHED
Object custom TCP port LITERAL FINISHED

How this triple was built (2 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: custom TCP port | Statement: [IPsec over TCP, canUsePort, custom TCP port]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: canUsePort
Context triple: [IPsec over TCP, canUsePort, custom TCP port]
  • A. usedPort
    Indicates that a particular port (such as a network or hardware interface) is or has been utilized by an entity for communication or connection.
  • B. usedOnPort
    Indicates that something is applied, connected, or operates specifically on a given port.
  • C. isPortFor
    Indicates that one entity serves as a port, interface, or connection point for another entity.
  • D. canUse
    Indicates that one entity has the ability, permission, or suitability to make use of another entity or resource.
  • E. hasPortCapability chosen
    Indicates that an entity possesses the ability or feature to support, provide, or utilize a specific type of port or port-related function.
  • F. None of above.

Provenance (3 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_69e0b51061388190aa03f19700d3ef04 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e733381f288190b3da795f62a39568 completed April 21, 2026, 8:20 a.m.
PD Predicate disambiguation batch_69e5f6027c248190a170a36612bd337e completed April 20, 2026, 9:46 a.m.
Created at: April 16, 2026, 3:07 p.m.