Triple
T1280056
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sollentuna Municipality |
E27302
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Edsviken |
E164484
|
NE FINISHED |
How this triple was built (2 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: Edsviken | Statement: [Sollentuna Municipality, hasSettlement, Edsviken]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Edsviken Context triple: [Sollentuna Municipality, hasSettlement, Edsviken]
-
A.
Edsviken
chosen
Edsviken is a narrow bay of the Baltic Sea in the Stockholm area, known for its residential waterfronts, marinas, and recreational natural surroundings.
-
B.
Häggvik
Häggvik is a residential and commercial district in Sollentuna, part of the northern suburbs of Stockholm, Sweden.
-
C.
Enebyberg
Enebyberg is a residential suburban area in the northern part of the Stockholm urban region in Sweden.
-
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.
Skarpäng
Skarpäng is a residential urban area within Täby Municipality in Stockholm County, Sweden.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69a496d3710c8190955dee8bc0dacb50 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c094eb4881909a33061339f91190 |
completed | March 1, 2026, 10:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad1c93bbe8819092dab6a3ed616998 |
completed | March 8, 2026, 6:52 a.m. |
Created at: March 1, 2026, 7:50 p.m.