Triple

T4480226
Position Surface form Disambiguated ID Type / Status
Subject Murmansk E100111 entity
Predicate hasPortCapability P56804 FINISHED
Object handling Arctic shipping 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: handling Arctic shipping | Statement: [Murmansk, hasPortCapability, handling Arctic shipping]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPortCapability
Context triple: [Murmansk, hasPortCapability, handling Arctic shipping]
  • A. hasPortConnection
    Indicates that one entity is linked to another via a port or interface through which data, power, or signals can be transmitted.
  • 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. hasPorts
    Indicates that an entity is equipped with or provides access points (ports) for connection, communication, or interface with other entities or systems.
  • D. hasPortType
    Indicates that an entity is associated with, or characterized by, a specific type or category of port.
  • E. hasPortSpecialization
    Indicates that an entity has a specific functional or technical specialization related to a port or interface.
  • F. None of above. chosen

Provenance (4 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_69b34553cbe48190afa8ac1cac285b86 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b35728ed508190ba0e882fa62d8848 completed March 13, 2026, 12:15 a.m.
PD Predicate disambiguation batch_69b3563d63008190816e37027e761375 completed March 13, 2026, 12:11 a.m.
PDg Predicate description generation batch_69b35727a8ac819090420bd3e2cfbcf1 completed March 13, 2026, 12:15 a.m.
Created at: March 12, 2026, 11:36 p.m.