Triple
T728936
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henrik Lundqvist |
E14789
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object |
Åre
Åre is a well-known ski resort village in northern Sweden, recognized for its alpine skiing and winter sports tourism.
|
E88146
|
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: Åre | Statement: [Henrik Lundqvist, placeOfBirth, Åre]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Åre Context triple: [Henrik Lundqvist, placeOfBirth, Åre]
-
A.
Strömstad
Strömstad is a coastal town and municipality in western Sweden, near the Norwegian border, known for its archipelago, tourism, and ferry connections.
-
B.
Trollhättan
Trollhättan is a city in western Sweden known for its historic role in the automotive industry and as the longtime home of Saab Automobile’s main production facilities.
-
C.
Östersund
Östersund is a city in central Sweden known for its strong winter sports tradition and repeated bids to host the Winter Olympics.
-
D.
Älvdalen
Älvdalen is a small municipality in central Sweden known for its forested landscapes, traditional culture, and preservation of the unique Elfdalian language.
-
E.
Botkyrka Municipality
Botkyrka Municipality is a suburban municipality in the southern part of the Stockholm metropolitan area in Sweden, known for its cultural diversity and mix of urban and rural environments.
- 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: Åre Triple: [Henrik Lundqvist, placeOfBirth, Åre]
Generated description
Åre is a well-known ski resort village in northern Sweden, recognized for its alpine skiing and winter sports tourism.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Åre Target entity description: Åre is a well-known ski resort village in northern Sweden, recognized for its alpine skiing and winter sports tourism.
-
A.
Strömstad
Strömstad is a coastal town and municipality in western Sweden, near the Norwegian border, known for its archipelago, tourism, and ferry connections.
-
B.
Trollhättan
Trollhättan is a city in western Sweden known for its historic role in the automotive industry and as the longtime home of Saab Automobile’s main production facilities.
-
C.
Östersund
Östersund is a city in central Sweden known for its strong winter sports tradition and repeated bids to host the Winter Olympics.
-
D.
Älvdalen
Älvdalen is a small municipality in central Sweden known for its forested landscapes, traditional culture, and preservation of the unique Elfdalian language.
-
E.
Botkyrka Municipality
Botkyrka Municipality is a suburban municipality in the southern part of the Stockholm metropolitan area in Sweden, known for its cultural diversity and mix of urban and rural environments.
- 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_69a4934c753c81909b309027e48b9b3a |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a5c155908190a73a40195f6281b1 |
completed | March 1, 2026, 8:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a64a5c9d248190b0bebfd0e999643a |
completed | March 3, 2026, 2:41 a.m. |
| NEDg | Description generation | batch_69a64e4ae3b4819099da917053197627 |
completed | March 3, 2026, 2:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a64eb30e80819096ac54a526eea79d |
completed | March 3, 2026, 3 a.m. |
Created at: March 1, 2026, 7:37 p.m.