Triple
T20405148
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Helenelund |
E500447
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object |
Norrviken
Norrviken is a residential district in Sollentuna Municipality, north of Stockholm, known for its commuter rail connections and proximity to Lake Norrviken.
|
E1431075
|
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: Norrviken | Statement: [Helenelund, adjacentTo, Norrviken]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Norrviken Context triple: [Helenelund, adjacentTo, Norrviken]
-
A.
Ulvik
Ulvik is a small scenic municipality and village area in Vestland county, Norway, known for its fjord landscape, fruit orchards, and location along the inner reaches of the Hardanger region.
-
B.
Storvik
Storvik is a locality in Gävleborg County, Sweden, known historically as a railway junction and small industrial community.
-
C.
Iveland
Iveland is a small rural municipality in southern Norway known for its forests, agriculture, and mineral resources.
-
D.
Lageland
Lageland is a small village in the Dutch province of Groningen, located within the municipality of Midden-Groningen.
-
E.
Hystad
Hystad is a residential area and neighboring settlement to Leirvik in the municipality of Stord in western Norway.
- 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: Norrviken Triple: [Helenelund, adjacentTo, Norrviken]
Generated description
Norrviken is a residential district in Sollentuna Municipality, north of Stockholm, known for its commuter rail connections and proximity to Lake Norrviken.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Norrviken Target entity description: Norrviken is a residential district in Sollentuna Municipality, north of Stockholm, known for its commuter rail connections and proximity to Lake Norrviken.
-
A.
Ulvik
Ulvik is a small scenic municipality and village area in Vestland county, Norway, known for its fjord landscape, fruit orchards, and location along the inner reaches of the Hardanger region.
-
B.
Storvik
Storvik is a locality in Gävleborg County, Sweden, known historically as a railway junction and small industrial community.
-
C.
Iveland
Iveland is a small rural municipality in southern Norway known for its forests, agriculture, and mineral resources.
-
D.
Lageland
Lageland is a small village in the Dutch province of Groningen, located within the municipality of Midden-Groningen.
-
E.
Hystad
Hystad is a residential area and neighboring settlement to Leirvik in the municipality of Stord in western Norway.
- 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_69e0b4a81bec8190b69adfdc1336a015 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6799161c48190825eca3027d1aa51 |
completed | April 20, 2026, 7:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0883ec6b8c8190aeb3ef7443a64330 |
completed | May 16, 2026, 2:49 p.m. |
| NEDg | Description generation | batch_6a08857a27f881908a7dab5ef4506a17 |
completed | May 16, 2026, 2:55 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0885f9e7d88190b3085f68add016d1 |
completed | May 16, 2026, 2:58 p.m. |
Created at: April 16, 2026, 11:29 a.m.