Triple
T15197468
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Älvsborg County |
E363173
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
Mellerud
Mellerud is a small town in western Sweden known for its location by Lake Vänern and its role as a local service and transport hub.
|
E1142848
|
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: Mellerud | Statement: [Älvsborg County, containsCity, Mellerud]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mellerud Context triple: [Älvsborg County, containsCity, Mellerud]
-
A.
Linderud
Linderud is a residential neighborhood in Oslo, Norway, known for its apartment blocks, shopping center, and access to public transportation.
-
B.
Ekblom
Ekblom is a surname most notably associated with English actress Annette Ekblom.
-
C.
Hellerud
Hellerud is a residential neighborhood in Oslo, Norway, known for its hillside location and proximity to green areas and public transport.
-
D.
Blomstedt
Blomstedt is a surname most prominently associated with Herbert Blomstedt, a renowned Swedish conductor known for his interpretations of the classical and romantic repertoire.
-
E.
Karlsen
Karlsen is a Scandinavian patronymic surname, particularly common in Norway and Denmark, meaning "son of Karl."
- 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: Mellerud Triple: [Älvsborg County, containsCity, Mellerud]
Generated description
Mellerud is a small town in western Sweden known for its location by Lake Vänern and its role as a local service and transport hub.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mellerud Target entity description: Mellerud is a small town in western Sweden known for its location by Lake Vänern and its role as a local service and transport hub.
-
A.
Linderud
Linderud is a residential neighborhood in Oslo, Norway, known for its apartment blocks, shopping center, and access to public transportation.
-
B.
Ekblom
Ekblom is a surname most notably associated with English actress Annette Ekblom.
-
C.
Hellerud
Hellerud is a residential neighborhood in Oslo, Norway, known for its hillside location and proximity to green areas and public transport.
-
D.
Blomstedt
Blomstedt is a surname most prominently associated with Herbert Blomstedt, a renowned Swedish conductor known for his interpretations of the classical and romantic repertoire.
-
E.
Karlsen
Karlsen is a Scandinavian patronymic surname, particularly common in Norway and Denmark, meaning "son of Karl."
- 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0067fcc788190abdc083d4eadeb36 |
completed | April 15, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fed3342624819087be35acadd88136 |
completed | May 9, 2026, 6:24 a.m. |
| NEDg | Description generation | batch_69fed516a2008190bab6da27d28289e7 |
completed | May 9, 2026, 6:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fed57659a081909ec777549deff505 |
completed | May 9, 2026, 6:34 a.m. |
Created at: April 10, 2026, 3:10 a.m.