Triple

T8407627
Position Surface form Disambiguated ID Type / Status
Subject RFC 867 E198538 entity
Predicate hasPortNumber P2548 FINISHED
Object 13 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: 13 | Statement: [RFC 867, hasPortNumber, 13]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPortNumber
Context triple: [RFC 867, hasPortNumber, 13]
  • A. 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).
  • B. portNumber chosen
    Indicates the specific communication port assigned to a network connection, service, or endpoint.
  • C. hasPorts
    Indicates that an entity is equipped with or provides access points (ports) for connection, communication, or interface with other entities or systems.
  • D. hasPortConnection
    Indicates that one entity is linked to another via a port or interface through which data, power, or signals can be transmitted.
  • E. hasPortCode
    Indicates that an entity (such as a port or terminal) is associated with a specific standardized port code identifier.
  • 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_69ca8310df9c8190b25f16161cca3e41 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cb831409308190981089c303ebaef4 completed March 31, 2026, 8:17 a.m.
PD Predicate disambiguation batch_69cb70d473dc8190af8ea81ee5aa970d completed March 31, 2026, 6:59 a.m.
Created at: March 30, 2026, 6:05 p.m.