Triple
T20935031
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tungelsta station |
E515561
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Tungelsta |
—
|
NE NERFINISHED |
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: Tungelsta | Statement: [Tungelsta station, locatedIn, Tungelsta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tungelsta Context triple: [Tungelsta station, locatedIn, Tungelsta]
-
A.
Tungelsta
chosen
Tungelsta is a locality in Stockholm County, Sweden, known for its residential character and commuter connections within the Haninge area.
-
B.
Torgny
Torgny is a masculine given name of Scandinavian origin, most notably borne by the Swedish author Torgny Lindgren.
-
C.
Tullinge
Tullinge is a suburban locality in the Stockholm region of Sweden, known for its residential areas, natural surroundings, and commuter connections to central Stockholm.
-
D.
Ljungan
Ljungan is a river in central Sweden that flows through Jämtland and Västernorrland counties before emptying into the Gulf of Bothnia.
-
E.
Trollbäcken
Trollbäcken is a residential suburban district in the Stockholm County area of Sweden, known for its proximity to lakes and green spaces.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4fc13408190b06868df03c5c29b |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6f950d5e081908ec0df4824cf69f7 |
completed | April 21, 2026, 4:13 a.m. |
Created at: April 16, 2026, 12:49 p.m.