Triple
T7686039
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mikael Niemi |
E174118
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object |
Pajala
Pajala is a small town in northern Sweden’s Lapland region, known for its remote Arctic setting and as the backdrop of several works by author Mikael Niemi.
|
E688824
|
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: Pajala | Statement: [Mikael Niemi, placeOfBirth, Pajala]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pajala Context triple: [Mikael Niemi, placeOfBirth, Pajala]
-
A.
Gällivare
Gällivare is a mining town in northern Sweden known for its significant iron ore deposits and role in the region’s mining industry.
-
B.
Luleå
Luleå is a coastal city in northern Sweden known for its major port, technology and university hub, and proximity to the Arctic Circle.
-
C.
Haparanda
Haparanda is a small Swedish town on the border with Finland, known as a key cross-border trading hub and the easternmost town in Sweden.
-
D.
Skellefteå
Skellefteå is a city in northern Sweden known for its growing high-tech and green industry sector, particularly in battery manufacturing, as well as its ice hockey tradition.
-
E.
Risberg
Risberg is a Swedish surname borne by various notable individuals, including athletes and public figures.
- 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: Pajala Triple: [Mikael Niemi, placeOfBirth, Pajala]
Generated description
Pajala is a small town in northern Sweden’s Lapland region, known for its remote Arctic setting and as the backdrop of several works by author Mikael Niemi.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pajala Target entity description: Pajala is a small town in northern Sweden’s Lapland region, known for its remote Arctic setting and as the backdrop of several works by author Mikael Niemi.
-
A.
Gällivare
Gällivare is a mining town in northern Sweden known for its significant iron ore deposits and role in the region’s mining industry.
-
B.
Luleå
Luleå is a coastal city in northern Sweden known for its major port, technology and university hub, and proximity to the Arctic Circle.
-
C.
Haparanda
Haparanda is a small Swedish town on the border with Finland, known as a key cross-border trading hub and the easternmost town in Sweden.
-
D.
Skellefteå
Skellefteå is a city in northern Sweden known for its growing high-tech and green industry sector, particularly in battery manufacturing, as well as its ice hockey tradition.
-
E.
Risberg
Risberg is a Swedish surname borne by various notable individuals, including athletes and public figures.
- 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_69c6995840408190a19de6c51090f46f |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c7022118908190a3a93cfda79be0a4 |
completed | March 27, 2026, 10:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8e57c9e00819096730c74c5202027 |
completed | March 29, 2026, 8:40 a.m. |
| NEDg | Description generation | batch_69c8e622e8908190b2e50a76695bf63a |
completed | March 29, 2026, 8:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8e761bfdc8190b14b81eddd88189b |
completed | March 29, 2026, 8:48 a.m. |
Created at: March 27, 2026, 4:02 p.m.