Triple

T7269697
Position Surface form Disambiguated ID Type / Status
Subject Prince of Wales Island E161068 entity
Predicate hasSettlement P1068 FINISHED
Object Hydaburg E381394 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: Hydaburg | Statement: [Prince of Wales Island, hasSettlement, Hydaburg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hydaburg
Context triple: [Prince of Wales Island, hasSettlement, Hydaburg]
  • A. Hydaburg chosen
    Hydaburg is a small city on Prince of Wales Island in Alaska known as a central community for the Haida people and their culture.
  • B. Taku City
    Taku City is a municipality in Saga Prefecture, Japan, known for its historic sites and traditional Japanese townscape.
  • C. Sitka
    Sitka is a historic coastal city in southeastern Alaska known for its Tlingit and Russian heritage, scenic island setting, and abundant wildlife.
  • D. Klawock
    Klawock is a small Tlingit community and former salmon cannery town on Prince of Wales Island in Southeast Alaska.
  • E. Savoonga
    Savoonga is a remote Alaska Native village on St. Lawrence Island in the Bering Sea, known for its Siberian Yupik culture and subsistence hunting lifestyle.
  • 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_69c6885181008190b419040e22939c7c completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6eae9f8bc8190a8c31cc29926919c completed March 27, 2026, 8:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7eed8c5448190b83faee62f8122de completed March 28, 2026, 3:08 p.m.
Created at: March 27, 2026, 2:58 p.m.