Triple
T1000342
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Södertälje Municipality |
E21587
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Lake Mälaren |
E95397
|
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: Lake Mälaren | Statement: [Södertälje Municipality, locatedNear, Lake Mälaren]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lake Mälaren Context triple: [Södertälje Municipality, locatedNear, Lake Mälaren]
-
A.
Lake Mälaren
chosen
Lake Mälaren is a large freshwater lake in eastern Sweden that connects to the Baltic Sea and has Stockholm situated on its shores.
-
B.
Gulf of Bothnia
The Gulf of Bothnia is the northernmost arm of the Baltic Sea, lying between Sweden and Finland and known for its brackish waters and extensive winter ice cover.
-
C.
Lake Saimaa
Lake Saimaa is Finland’s largest lake, a vast labyrinthine freshwater system in the southeast known for its intricate shoreline, islands, and the endangered Saimaa ringed seal.
-
D.
Saltsjön
Saltsjön is a bay of the Baltic Sea forming part of the inner Stockholm archipelago and the main sea approach to central Stockholm.
-
E.
Brunnsviken
Brunnsviken is a scenic bay in the Stockholm area of Sweden, known for its surrounding parks, recreational areas, and cultural landmarks.
- 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_69a493c476b48190b41fc5e793171cc6 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b4fb18b88190ae2d620aaaff4f90 |
completed | March 1, 2026, 9:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac3ba52ebc819084e3d003a3ec8417 |
completed | March 7, 2026, 2:52 p.m. |
Created at: March 1, 2026, 7:41 p.m.