Triple

T106479
Position Surface form Disambiguated ID Type / Status
Subject Union Pacific Railroad E2147 entity
Predicate servesPort P1763 FINISHED
Object Port of Los Angeles E2797 NE FINISHED

How this triple was built (3 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: Port of Los Angeles | Statement: [Union Pacific Railroad, servesPort, Port of Los Angeles]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Port of Los Angeles
Context triple: [Union Pacific Railroad, servesPort, Port of Los Angeles]
  • A. Port of Los Angeles chosen
    The Port of Los Angeles is the busiest container port in the United States and a major gateway for trans-Pacific trade, located in San Pedro Bay in Southern California.
  • B. Port of Long Beach
    The Port of Long Beach is one of the busiest and most important container seaports in the United States, serving as a major gateway for trans-Pacific trade.
  • C. Port of Oakland
    The Port of Oakland is a major deep-water seaport in Northern California and one of the primary container shipping hubs on the U.S. West Coast.
  • D. Long Beach
    Long Beach is a coastal city in Southern California known for its busy port, waterfront attractions, and diverse urban community within the Los Angeles metropolitan area.
  • E. Port of San Francisco
    The Port of San Francisco is a major maritime facility and waterfront district on the city’s eastern shoreline, serving as a hub for cargo, ferries, cruise ships, and commercial development.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: servesPort
Context triple: [Union Pacific Railroad, servesPort, Port of Los Angeles]
  • A. portNumber
    Indicates the specific communication port assigned to a network connection, service, or endpoint.
  • B. port chosen
    Indicates a relationship where one entity serves as a harbor, access point, or interface through which another entity can enter, exit, or connect.
  • C. servesMode
    Indicates that one entity provides or operates in a particular manner, method, or mode in relation to another entity or context.
  • D. defaultPort
    Indicates that one entity serves as the standard or preconfigured communication port used by another entity unless explicitly overridden.
  • E. servesBranch
    Indicates that one entity provides services or support to a particular branch or subdivision of an organization.
  • F. None of above.

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_69a24e0a5b7c81908d52da08c60dabc4 completed Feb. 28, 2026, 2:08 a.m.
NER Named-entity recognition batch_69a256ec650c8190bee2067e37065527 completed Feb. 28, 2026, 2:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2bf6620c88190bfc1c65b9942c98f completed Feb. 28, 2026, 10:11 a.m.
PD Predicate disambiguation batch_69a2563d33788190999d471b486d5603 completed Feb. 28, 2026, 2:43 a.m.
Created at: Feb. 28, 2026, 2:12 a.m.