Triple
T7266624
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blekinge |
E160990
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
Olofström
Olofström is a small industrial town in southern Sweden known for its automotive manufacturing, particularly its long association with Volvo.
|
E651581
|
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: Olofström | Statement: [Blekinge, containsCity, Olofström]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Olofström Context triple: [Blekinge, containsCity, Olofström]
-
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.
Bollstanäs
Bollstanäs is a residential locality in Sweden situated within the suburban area of Upplands Väsby, north of Stockholm.
-
C.
Östberg
Östberg is a Swedish surname most notably borne by architect Ragnar Östberg, designer of the Stockholm City Hall.
-
D.
Palmström
Palmström is a whimsical, absurdist poetic character created by German writer Christian Morgenstern, featured in a series of humorous and satirical poems.
-
E.
Fredrikshamn
Fredrikshamn (Hamina) is a coastal town in southeastern Finland that historically served as an important military and trading center.
- 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: Olofström Triple: [Blekinge, containsCity, Olofström]
Generated description
Olofström is a small industrial town in southern Sweden known for its automotive manufacturing, particularly its long association with Volvo.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Olofström Target entity description: Olofström is a small industrial town in southern Sweden known for its automotive manufacturing, particularly its long association with Volvo.
-
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.
Bollstanäs
Bollstanäs is a residential locality in Sweden situated within the suburban area of Upplands Väsby, north of Stockholm.
-
C.
Östberg
Östberg is a Swedish surname most notably borne by architect Ragnar Östberg, designer of the Stockholm City Hall.
-
D.
Palmström
Palmström is a whimsical, absurdist poetic character created by German writer Christian Morgenstern, featured in a series of humorous and satirical poems.
-
E.
Fredrikshamn
Fredrikshamn (Hamina) is a coastal town in southeastern Finland that historically served as an important military and trading center.
- 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_69c6885181008190b419040e22939c7c |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6eae64e54819096b27c7b09060afa |
completed | March 27, 2026, 8:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7d3cb62288190bac8da63c24fe076 |
completed | March 28, 2026, 1:12 p.m. |
| NEDg | Description generation | batch_69c7d469fd0081908943099685f94c8b |
completed | March 28, 2026, 1:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7d52299108190974a2e62d6f96610 |
completed | March 28, 2026, 1:18 p.m. |
Created at: March 27, 2026, 2:58 p.m.