Triple
T8169231
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Petersburg |
E190772
|
entity |
| Predicate | hasNickname |
P39
|
FINISHED |
| Object |
Little Norway
Little Norway is a nickname for Petersburg, Alaska, a coastal town known for its strong Norwegian heritage and fishing industry.
|
E715936
|
NE FINISHED |
How this triple was built (4 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, hasNickname, Little Norway]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Little Norway Context triple: [Petersburg, hasNickname, Little Norway]
-
A.
Petitenget
Petitenget is a trendy coastal neighborhood in Bali, Indonesia, known for its upscale beach clubs, boutique hotels, and vibrant dining scene near Seminyak.
-
B.
Forlandet
Forlandet is a long, narrow island off the west coast of Spitsbergen in the Svalbard archipelago, known for its protected wilderness and rich Arctic wildlife.
-
C.
Hjelmeland
Hjelmeland is a rural municipality in southwestern Norway known for its fjord landscapes, agriculture, and traditional fruit farming.
-
D.
Helgeland
Helgeland is a coastal region in northern Norway known for its dramatic fjords, islands, and mountain landscapes.
-
E.
Nordre Land
Nordre Land is a rural municipality in Innlandet county, Norway, known for its forests, lakes, and agricultural landscape in the traditional district of Land.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Little Norway Triple: [Petersburg, hasNickname, Little Norway]
Generated description
Little Norway is a nickname for Petersburg, Alaska, a coastal town known for its strong Norwegian heritage and fishing industry.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Little Norway Target entity description: Little Norway is a nickname for Petersburg, Alaska, a coastal town known for its strong Norwegian heritage and fishing industry.
-
A.
Petitenget
Petitenget is a trendy coastal neighborhood in Bali, Indonesia, known for its upscale beach clubs, boutique hotels, and vibrant dining scene near Seminyak.
-
B.
Forlandet
Forlandet is a long, narrow island off the west coast of Spitsbergen in the Svalbard archipelago, known for its protected wilderness and rich Arctic wildlife.
-
C.
Hjelmeland
Hjelmeland is a rural municipality in southwestern Norway known for its fjord landscapes, agriculture, and traditional fruit farming.
-
D.
Helgeland
Helgeland is a coastal region in northern Norway known for its dramatic fjords, islands, and mountain landscapes.
-
E.
Nordre Land
Nordre Land is a rural municipality in Innlandet county, Norway, known for its forests, lakes, and agricultural landscape in the traditional district of Land.
- F. None of above. chosen
Provenance (5 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_69ca82c0ef14819083713f4473dd847c |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb466abfe48190b4eb2f23b1e28668 |
completed | March 31, 2026, 3:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ccbf542c388190b99fe4f0c6b7b946 |
completed | April 1, 2026, 6:46 a.m. |
| NEDg | Description generation | batch_69ccc312a8608190b899394752ef375f |
completed | April 1, 2026, 7:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ccd83115fc8190a3e276bed0a00926 |
completed | April 1, 2026, 8:32 a.m. |
Created at: March 30, 2026, 5:39 p.m.