Triple
T15030407
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Akalla |
E378327
|
entity |
| Predicate | hasNeighbourhood |
P4813
|
FINISHED |
| Object |
Husby
Husby is a residential district in the northwestern part of Stockholm, Sweden, known for its multicultural population and large-scale modern housing.
|
E1134383
|
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: Husby | Statement: [Akalla, hasNeighbourhood, Husby]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Husby Context triple: [Akalla, hasNeighbourhood, Husby]
-
A.
Hussey
Hussey is an English surname borne by various notable figures in fields such as religion, politics, and the arts.
-
B.
Havu
Havu are a Bantu-speaking ethnic group primarily inhabiting the Lake Kivu region of eastern Democratic Republic of the Congo, known for their farming, fishing, and rich cultural traditions.
-
C.
Hoornaar
Hoornaar is a village in the Dutch province of South Holland, known for its rural character and traditional polder landscape.
-
D.
Harvie
Harvie is a given name and surname, typically a variant of Harvey, used in English-speaking countries.
-
E.
Jonathan the Husky
Jonathan the Husky is the costumed canine mascot representing the University of Connecticut and its athletic teams, including the renowned women’s basketball program.
- 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: Husby Triple: [Akalla, hasNeighbourhood, Husby]
Generated description
Husby is a residential district in the northwestern part of Stockholm, Sweden, known for its multicultural population and large-scale modern housing.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Husby Target entity description: Husby is a residential district in the northwestern part of Stockholm, Sweden, known for its multicultural population and large-scale modern housing.
-
A.
Hussey
Hussey is an English surname borne by various notable figures in fields such as religion, politics, and the arts.
-
B.
Havu
Havu are a Bantu-speaking ethnic group primarily inhabiting the Lake Kivu region of eastern Democratic Republic of the Congo, known for their farming, fishing, and rich cultural traditions.
-
C.
Hoornaar
Hoornaar is a village in the Dutch province of South Holland, known for its rural character and traditional polder landscape.
-
D.
Harvie
Harvie is a given name and surname, typically a variant of Harvey, used in English-speaking countries.
-
E.
Jonathan the Husky
Jonathan the Husky is the costumed canine mascot representing the University of Connecticut and its athletic teams, including the renowned women’s basketball program.
- 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_69d85cd46b2c819090d054c27787f677 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded7e2416081908dfba48d7f7b4a84 |
completed | April 15, 2026, 12:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe9ddb46888190b1d2fe2992fc120b |
completed | May 9, 2026, 2:37 a.m. |
| NEDg | Description generation | batch_69fe9efce5dc8190909b891c476d5291 |
completed | May 9, 2026, 2:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fea2bd5d2c8190b26d2393cd8abb3e |
completed | May 9, 2026, 2:58 a.m. |
Created at: April 10, 2026, 2:59 a.m.