Triple

T2550930
Position Surface form Disambiguated ID Type / Status
Subject Alaska Railroad E56622 entity
Predicate servesCity P82 FINISHED
Object Seward E78889 NE 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: Seward | Statement: [Alaska Railroad, servesCity, Seward]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seward
Context triple: [Alaska Railroad, servesCity, Seward]
  • A. Seward chosen
    Seward is a small coastal city in southern Alaska known as a gateway to Kenai Fjords National Park and a popular hub for fishing, tourism, and marine wildlife viewing.
  • B. Seward
    Seward is an English surname historically associated with several notable figures in literature and politics.
  • C. Daggett
    Daggett is a small unincorporated desert community in San Bernardino County, California, historically known as a railroad and mining town along major transportation routes.
  • D. Harlan
    Harlan is a masculine given name of English origin, historically associated with figures such as U.S. Chief Justice Harlan F. Stone.
  • E. Lamont
    Lamont is an unincorporated community in Kern County, California, known primarily as an agricultural and residential area near Bakersfield.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ab4a4bfec081908039988ec4c86e28 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd2eaaf688190926a1104be12a540 completed March 7, 2026, 7:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69af5d14a58c819094250ee393f95a37 completed March 9, 2026, 11:51 p.m.
Created at: March 6, 2026, 9:48 p.m.