Triple
T15092077
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skaraborg County |
E360443
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Tidaholm
Tidaholm is a small Swedish town known for its industrial heritage, particularly match production, and its scenic location by the river Tidan.
|
E1138165
|
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: Tidaholm | Statement: [Skaraborg County, contains, Tidaholm]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tidaholm Context triple: [Skaraborg County, contains, Tidaholm]
-
A.
Strömholm
Strömholm is a Swedish surname most notably associated with Stig Strömholm, a prominent jurist and academic.
-
B.
Bordesholm
Bordesholm is a small town in Schleswig-Holstein, northern Germany, historically notable as a religious and cultural center and as the burial site of regional nobility.
-
C.
Bollstanäs
Bollstanäs is a residential locality in Sweden situated within the suburban area of Upplands Väsby, north of Stockholm.
-
D.
Djursholm
Djursholm is an affluent suburban district of Stockholm, Sweden, known for its villas, garden-city planning, and status as one of the country’s wealthiest residential areas.
-
E.
Hammarö
Hammarö is a Swedish island and municipality in Värmland County, known for its forests, coastline, and proximity to the city of Karlstad.
- 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: Tidaholm Triple: [Skaraborg County, contains, Tidaholm]
Generated description
Tidaholm is a small Swedish town known for its industrial heritage, particularly match production, and its scenic location by the river Tidan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tidaholm Target entity description: Tidaholm is a small Swedish town known for its industrial heritage, particularly match production, and its scenic location by the river Tidan.
-
A.
Strömholm
Strömholm is a Swedish surname most notably associated with Stig Strömholm, a prominent jurist and academic.
-
B.
Bordesholm
Bordesholm is a small town in Schleswig-Holstein, northern Germany, historically notable as a religious and cultural center and as the burial site of regional nobility.
-
C.
Bollstanäs
Bollstanäs is a residential locality in Sweden situated within the suburban area of Upplands Väsby, north of Stockholm.
-
D.
Djursholm
Djursholm is an affluent suburban district of Stockholm, Sweden, known for its villas, garden-city planning, and status as one of the country’s wealthiest residential areas.
-
E.
Hammarö
Hammarö is a Swedish island and municipality in Värmland County, known for its forests, coastline, and proximity to the city of Karlstad.
- 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_69d85a035aa88190b52a139d3a1b7b6d |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0027925788190b955fdc6626adf7d |
completed | April 15, 2026, 9:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feb7e47b20819084145008474f47b7 |
completed | May 9, 2026, 4:28 a.m. |
| NEDg | Description generation | batch_69feb9abd8588190bcf43f9974429c4d |
completed | May 9, 2026, 4:35 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69feba30cc748190bc0141b205f7e91b |
completed | May 9, 2026, 4:38 a.m. |
Created at: April 10, 2026, 3:04 a.m.