Triple
T20166490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Petersburg, Alaska |
E491836
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | Little Norway |
—
|
NE NERFINISHED |
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: Little Norway | Statement: [Petersburg, Alaska, nickname, Little Norway]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Little Norway Context triple: [Petersburg, Alaska, nickname, Little Norway]
-
A.
Little Norway
chosen
Little Norway is a nickname for Petersburg, Alaska, a coastal town known for its strong Norwegian heritage and fishing industry.
-
B.
Little Norway
Little Norway is the nickname for Poulsbo, a Washington State town known for its strong Norwegian heritage and Scandinavian-style architecture.
-
C.
Petitenget
Petitenget is a trendy coastal neighborhood in Bali, Indonesia, known for its upscale beach clubs, boutique hotels, and vibrant dining scene near Seminyak.
-
D.
Norway (fictional setting)
Norway (fictional setting) is an imagined version of the Scandinavian country used as a narrative backdrop, distinct from real-world Norway, in which characters like Margret Erlendsdatter originate and fictional events unfold.
-
E.
Helleland
Helleland is a small village in Rogaland county, Norway, situated within the municipality of Eigersund.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da6266c6888190bc1a3ecf24814d34 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e66844e49081909b7e9ec2b65cc61d |
completed | April 20, 2026, 5:54 p.m. |
Created at: April 11, 2026, 11:35 p.m.