Triple

T17090551
Position Surface form Disambiguated ID Type / Status
Subject Southern Alaska E414712 entity
Predicate contains P35 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: [Southern Alaska, contains, Seward]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seward
Context triple: [Southern Alaska, contains, 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. Wilmot
    Wilmot is a rural township in Ontario, Canada, located within the Regional Municipality of Waterloo and known for its agricultural landscape and small communities such as Baden and New Hamburg.
  • E. Wilmot
    Wilmot is the given first name of Hudson Fysh, the Australian aviation pioneer and co-founder of Qantas.
  • 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_69d886cfc8e88190b05ba466edd35591 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dbf948d88190a4dd4a0774a8505b completed April 18, 2026, 7:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a012ee9fd108190b12e8624bb66caf2 completed May 11, 2026, 1:20 a.m.
Created at: April 10, 2026, 5:35 a.m.