Triple
T7269696
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prince of Wales Island |
E161068
|
entity |
| Predicate | townOnIsland |
P21594
|
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, townOnIsland, Hydaburg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hydaburg Context triple: [Prince of Wales Island, townOnIsland, 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_69c6f041f4a88190b85cff1ee5f9a6d0 |
completed | March 27, 2026, 9:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7e52b8ea0819096c331f78dee5e4b |
completed | March 28, 2026, 2:26 p.m. |
Created at: March 27, 2026, 2:58 p.m.