Triple

T7938977
Position Surface form Disambiguated ID Type / Status
Subject kube-controller-manager E184345 entity
Predicate exposesPort P42050 FINISHED
Object 10252 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: 10252 | Statement: [kube-controller-manager, exposesPort, 10252]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: exposesPort
Context triple: [kube-controller-manager, exposesPort, 10252]
  • A. openedPort chosen
    Indicates that a network port on a host or device is currently open and able to accept incoming connections.
  • B. hasPortOn
    Indicates that one entity possesses or is located adjacent to a port situated on another specified geographic or infrastructural feature (such as a coast, river, or lake).
  • C. registeredPort
    Indicates that a specific network port number has been officially assigned and recorded for use by a particular service or protocol.
  • D. controlledPort
    Indicates that one entity has authority over or manages the operation or configuration of a specific port of another entity.
  • E. hasPorts
    Indicates that an entity is equipped with or provides access points (ports) for connection, communication, or interface with other entities or systems.
  • 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_69ca8290c21c8190906a5ca6fe2b03c4 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3af0a2048190838d1aeda59fda0b completed March 31, 2026, 3:09 a.m.
PD Predicate disambiguation batch_69cae93526d081909303265bf60419fd completed March 30, 2026, 9:20 p.m.
Created at: March 30, 2026, 5:08 p.m.