Triple
T22243599
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Västra stambanan |
E549784
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object | Katrineholm |
—
|
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: Katrineholm | Statement: [Västra stambanan, passesThrough, Katrineholm]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Katrineholm Context triple: [Västra stambanan, passesThrough, Katrineholm]
-
A.
Katrineholm
chosen
Katrineholm is a small Swedish town known as a regional transport hub and service center in central Södermanland.
-
B.
Djursholm
Djursholm is an affluent suburban district of Stockholm, Sweden, known for its villas, garden-city planning, and status as one of the country’s wealthiest residential areas.
-
C.
Botkyrka
Botkyrka is a municipality in Stockholm County, Sweden, historically associated with the veneration of Saint Botvid and known for its cultural diversity and suburban communities.
-
D.
Dronninglund
Dronninglund is a town in northern Denmark known for its historic castle and surrounding natural landscapes.
-
E.
Rosersberg
Rosersberg is a locality in Stockholm County, Sweden, known for its historic Rosersberg Palace and its location near Stockholm Arlanda Airport.
- 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_69e11e41d9408190bd770cf282e22753 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1321655b0819091f1ddf06c67f3c2 |
completed | April 28, 2026, 10:17 p.m. |
Created at: April 16, 2026, 8:38 p.m.