Triple
T3026529
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jönköping |
E82587
|
entity |
| Predicate | hasNeighbouringWaterBody |
P25960
|
FINISHED |
| Object | Rocksjön |
E327704
|
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: Rocksjön | Statement: [Jönköping, hasNeighbouringWaterBody, Rocksjön]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rocksjön Context triple: [Jönköping, hasNeighbouringWaterBody, Rocksjön]
-
A.
Saltsjön
Saltsjön is a bay of the Baltic Sea forming part of the inner Stockholm archipelago and the main sea approach to central Stockholm.
-
B.
Vallentunasjön
Vallentunasjön is a lake in Stockholm County, Sweden, known for its birdlife, recreational activities, and proximity to the town of Vallentuna.
-
C.
Munksjön
chosen
Munksjön is a small urban lake situated in central Jönköping in southern Sweden, known for its promenades, recreational areas, and proximity to the city’s downtown.
-
D.
Storsjön
Storsjön is a large lake in central Sweden, famed for its scenic surroundings and the local legend of the lake monster Storsjöodjuret.
-
E.
Järla Sjö
Järla Sjö is a lake and residential area in the eastern suburbs of Stockholm, Sweden, known for its scenic waterfront setting within Nacka.
- 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_69ad8b1fb34081908c1b873e2b7273e1 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9e13f16c81909e11ed1444c71151 |
completed | March 8, 2026, 4:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b20f41e2dc8190bba90185edd287ac |
completed | March 12, 2026, 12:56 a.m. |
Created at: March 8, 2026, 3 p.m.