Triple
T1282087
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Svalbard |
E27348
|
entity |
| Predicate | hasCapital |
P204
|
FINISHED |
| Object |
Longyearbyen
Longyearbyen is the world’s northernmost permanent settlement and the largest town in the Norwegian Arctic archipelago of Svalbard.
|
E146214
|
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: Longyearbyen | Statement: [Svalbard, hasCapital, Longyearbyen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Longyearbyen Context triple: [Svalbard, hasCapital, Longyearbyen]
-
A.
Narvik
Narvik is a port town in northern Norway known for its strategic importance during World War II and as the site of major naval and land battles.
-
B.
Grytviken
Grytviken is a former whaling station and now-abandoned settlement on the island of South Georgia, notable for its historical role in Antarctic exploration and as the burial place of Ernest Shackleton.
-
C.
Nuuk
Nuuk is the largest city in Greenland, serving as its cultural and economic center on the country's southwest coast.
-
D.
Notodden
Notodden is a town and municipality in Vestfold og Telemark county, Norway, known for its industrial heritage and annual blues festival.
-
E.
Kirkenes
Kirkenes is a remote Arctic town in northeastern Norway, near the Russian border, known for its Barents Sea port, winter tourism, and role as a gateway to the far north.
- 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: Longyearbyen Triple: [Svalbard, hasCapital, Longyearbyen]
Generated description
Longyearbyen is the world’s northernmost permanent settlement and the largest town in the Norwegian Arctic archipelago of Svalbard.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Longyearbyen Target entity description: Longyearbyen is the world’s northernmost permanent settlement and the largest town in the Norwegian Arctic archipelago of Svalbard.
-
A.
Narvik
Narvik is a port town in northern Norway known for its strategic importance during World War II and as the site of major naval and land battles.
-
B.
Grytviken
Grytviken is a former whaling station and now-abandoned settlement on the island of South Georgia, notable for its historical role in Antarctic exploration and as the burial place of Ernest Shackleton.
-
C.
Nuuk
Nuuk is the largest city in Greenland, serving as its cultural and economic center on the country's southwest coast.
-
D.
Notodden
Notodden is a town and municipality in Vestfold og Telemark county, Norway, known for its industrial heritage and annual blues festival.
-
E.
Kirkenes
Kirkenes is a remote Arctic town in northeastern Norway, near the Russian border, known for its Barents Sea port, winter tourism, and role as a gateway to the far north.
- 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_69a496d3710c8190955dee8bc0dacb50 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c0b317788190a1672b5ee422a049 |
completed | March 1, 2026, 10:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aca2fb746881909ac7a8dd672fc939 |
completed | March 7, 2026, 10:13 p.m. |
| NEDg | Description generation | batch_69aca3752a3c81908bd6d9744ad5f5a2 |
completed | March 7, 2026, 10:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69aca3e44bf481908c5726adddc4b428 |
completed | March 7, 2026, 10:17 p.m. |
Created at: March 1, 2026, 7:50 p.m.