Triple
T12444866
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Strömsborg |
E297372
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Centralbron |
E378586
|
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: Centralbron | Statement: [Strömsborg, locatedNear, Centralbron]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Centralbron Context triple: [Strömsborg, locatedNear, Centralbron]
-
A.
Centralbron
chosen
Centralbron is a major road and railway bridge in central Stockholm that carries traffic between the island of Södermalm and the city’s northern districts.
-
B.
Kungsängsbron
Kungsängsbron is a notable bridge in Uppsala, Sweden, spanning the Fyris River and serving as an important local traffic connection.
-
C.
Jordaan
Jordaan is a historic and picturesque neighborhood in central Amsterdam known for its narrow streets, canals, art galleries, and vibrant café culture.
-
D.
Hamngatan
Hamngatan is a major shopping and traffic street in central Stockholm, Sweden, known for its department stores and proximity to Sergels torg.
-
E.
Lilla Nygatan
Lilla Nygatan is a historic street in Stockholm’s Old Town (Gamla stan), known for its preserved medieval character and traditional urban streetscape.
- 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_69d6ada166c48190b902972cd2408fa3 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d8fd9848190a83410353d88ea8d |
completed | April 10, 2026, 7:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63f132d048190b58a8381bdc74cad |
completed | May 2, 2026, 6:14 p.m. |
Created at: April 8, 2026, 9:55 p.m.