Triple
T1014385
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haninge Municipality |
E21897
|
entity |
| Predicate | locatedOn |
P40
|
FINISHED |
| Object | Södertörn |
E124366
|
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: Södertörn | Statement: [Haninge Municipality, locatedOn, Södertörn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Södertörn Context triple: [Haninge Municipality, locatedOn, Södertörn]
-
A.
Södertörn
chosen
Södertörn is a large peninsula in eastern Sweden, south of Stockholm, known for its mix of suburban areas, forests, and coastline along the Baltic Sea.
-
B.
Lidingö
Lidingö is a suburban island town in the Stockholm archipelago known for its affluent residential areas, natural landscapes, and proximity to Sweden’s capital.
-
C.
Muskö
Muskö is an island and locality in the Stockholm archipelago of Sweden, known for its naval base and scenic coastal environment.
-
D.
Brunnsviken
Brunnsviken is a scenic bay in the Stockholm area of Sweden, known for its surrounding parks, recreational areas, and cultural landmarks.
-
E.
Hovsjö
Hovsjö is a residential district in the city of Södertälje, Sweden, known for its large-scale housing estates and diverse population.
- 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_69a493c68e24819080ed0ee8bcfd5ce0 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b7be907c8190b5c6ea89257755a7 |
completed | March 1, 2026, 10:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac6f0781e08190bbfd5fad2b122150 |
completed | March 7, 2026, 6:31 p.m. |
Created at: March 1, 2026, 7:41 p.m.