Triple
T834109
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hötorget |
E18031
|
entity |
| Predicate | hasNearbyStreet |
P8235
|
FINISHED |
| Object | Kungsgatan |
E97575
|
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: Kungsgatan | Statement: [Hötorget, hasNearbyStreet, Kungsgatan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kungsgatan Context triple: [Hötorget, hasNearbyStreet, Kungsgatan]
-
A.
Kungsgatan
chosen
Kungsgatan is a major central street in Stockholm, Sweden, known for its early 20th-century architecture, bustling shops, and iconic twin towers.
-
B.
Sveavägen
Sveavägen is a major thoroughfare in central Stockholm, Sweden, known for its commercial activity and historical significance.
-
C.
Hötorget
Hötorget is a central square in downtown Stockholm known for its market stalls, surrounding shops, and cultural venues.
-
D.
Sergels torg
Sergels torg is a central public square and major meeting point in downtown Stockholm, known for its modernist design and iconic glass obelisk.
-
E.
Kaiserin-Augusta-Straße
Kaiserin-Augusta-Straße is a Berlin U-Bahn station on line U6 located in the Tempelhof district of the German capital.
- 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_69a49389f44881909a608fb27d89f247 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4abb84fe081909b8f4b4202845860 |
completed | March 1, 2026, 9:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7a3b8c9b081908fd04ac23d45e932 |
completed | March 4, 2026, 3:15 a.m. |
Created at: March 1, 2026, 7:38 p.m.