Triple
T19093161
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Märsta Station |
E467339
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Märsta |
—
|
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: Märsta | Statement: [Märsta Station, locatedIn, Märsta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Märsta Context triple: [Märsta Station, locatedIn, Märsta]
-
A.
Märsta
chosen
Märsta is a town in Stockholm County, Sweden, known as a residential and transport hub near Stockholm Arlanda Airport.
-
B.
Vårsta
Vårsta is a small locality in eastern Sweden, situated within Botkyrka Municipality in Stockholm County.
-
C.
Majgull
Majgull is a Swedish given name, notably borne by the acclaimed author Majgull Axelsson.
-
D.
Bällsta
Bällsta is a small locality in eastern central Sweden situated within Vallentuna Municipality in Stockholm County.
-
E.
Migjorn
Migjorn is a long, tranquil sandy beach on the southern coast of Formentera, known for its clear waters and relatively unspoiled, relaxed atmosphere.
- 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_69d8dd05ac4c8190b1967d8f97f3fb2f |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e34cf5e481908e1f180dacd5602f |
completed | April 20, 2026, 8:26 a.m. |
Created at: April 10, 2026, 12:04 p.m.