Triple
T18059311
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Börshuset |
E432129
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Stortorget |
—
|
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: Stortorget | Statement: [Börshuset, locatedIn, Stortorget]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stortorget Context triple: [Börshuset, locatedIn, Stortorget]
-
A.
Stortorget
chosen
Stortorget is the historic main square of Stockholm’s Old Town, known for its colorful facades, medieval origins, and role as a central site of markets and public events.
-
B.
Stortorget
Stortorget is the historic main square in central Malmö, Sweden, known for its surrounding notable buildings and role as a key public gathering place.
-
C.
Stora Torg
Stora Torg is the main central square of Halmstad, Sweden, serving as a focal point for commerce, events, and public life in the city.
-
D.
Stortorvet
Stortorvet is a central public square in downtown Oslo, Norway, known as a busy transport hub and commercial meeting place.
-
E.
Mariatorget
Mariatorget is a public square and park in Stockholm’s Södermalm district, known for its cafés, cultural venues, and central urban location.
- 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_69d8b906482481908183315b9ecf9994 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4c10583648190a161c58abf4853d5 |
completed | April 19, 2026, 11:48 a.m. |
Created at: April 10, 2026, 10:26 a.m.