Triple
T7545961
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sollentuna |
E178401
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Häggvik |
E167384
|
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: Häggvik | Statement: [Sollentuna, contains, Häggvik]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Häggvik Context triple: [Sollentuna, contains, Häggvik]
-
A.
Häggvik
chosen
Häggvik is a residential and commercial district in Sollentuna, part of the northern suburbs of Stockholm, Sweden.
-
B.
Eidskog
Eidskog is a rural municipality in Innlandet county, Norway, known for its forests, lakes, and location along the Swedish border.
-
C.
Dragsvik
Dragsvik is a Finnish military locality known for hosting a key coastal garrison of the Finnish Navy.
-
D.
Vingåker
Vingåker is a small locality in Södermanland County, Sweden, known as the hometown of former Swedish Prime Minister Göran Persson.
-
E.
Ulsteinvik
Ulsteinvik is a coastal town in western Norway known for its maritime industry and shipbuilding, serving as the administrative center of Ulstein Municipality.
- 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_69c69f2cbe08819088f9eb0c03ef529b |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f89963ec8190ae7b8a2b9508c074 |
completed | March 27, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c86151a5a48190a6a53baa54f19293 |
completed | March 28, 2026, 11:16 p.m. |
Created at: March 27, 2026, 3:48 p.m.