Triple
T12308003
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stortorget |
E293401
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object |
Köpmangatan
Köpmangatan is one of the oldest and most historic streets in Stockholm’s Old Town (Gamla stan), known for its medieval character and traditional shops.
|
E973195
|
NE FINISHED |
How this triple was built (4 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: Köpmangatan | Statement: [Stortorget, near, Köpmangatan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Köpmangatan Context triple: [Stortorget, near, Köpmangatan]
-
A.
Norra Bantorget
Norra Bantorget is a historic square in central Stockholm known as a traditional gathering place for the Swedish labor movement and political demonstrations.
-
B.
Kungsgatan
Kungsgatan is a major central street in Stockholm, Sweden, known for its early 20th-century architecture, bustling shops, and iconic twin towers.
-
C.
Grubbegata
Grubbegata is a street in central Oslo, Norway, known for running through the area that houses key government buildings and institutions.
-
D.
Hötorget
Hötorget is a central square in downtown Stockholm known for its market stalls, surrounding shops, and cultural venues.
-
E.
Tegnergatan
Tegnergatan is a central street in Stockholm, Sweden, known for connecting several major thoroughfares and passing through the Vasastan and Norrmalm districts.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Köpmangatan Triple: [Stortorget, near, Köpmangatan]
Generated description
Köpmangatan is one of the oldest and most historic streets in Stockholm’s Old Town (Gamla stan), known for its medieval character and traditional shops.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Köpmangatan Target entity description: Köpmangatan is one of the oldest and most historic streets in Stockholm’s Old Town (Gamla stan), known for its medieval character and traditional shops.
-
A.
Norra Bantorget
Norra Bantorget is a historic square in central Stockholm known as a traditional gathering place for the Swedish labor movement and political demonstrations.
-
B.
Kungsgatan
Kungsgatan is a major central street in Stockholm, Sweden, known for its early 20th-century architecture, bustling shops, and iconic twin towers.
-
C.
Grubbegata
Grubbegata is a street in central Oslo, Norway, known for running through the area that houses key government buildings and institutions.
-
D.
Hötorget
Hötorget is a central square in downtown Stockholm known for its market stalls, surrounding shops, and cultural venues.
-
E.
Tegnergatan
Tegnergatan is a central street in Stockholm, Sweden, known for connecting several major thoroughfares and passing through the Vasastan and Norrmalm districts.
- F. None of above. chosen
Provenance (5 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_69d6ab6a2b50819082f6aedd32ed608a |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f01ace8819087f245b9216f4dc8 |
completed | April 10, 2026, 6:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e8243d48190baf25b2927de6c62 |
completed | May 2, 2026, 3:55 p.m. |
| NEDg | Description generation | batch_69f61f5d746c8190b5b0edfc4832bc6c |
completed | May 2, 2026, 3:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f62041f2408190ad320fec5283abdd |
completed | May 2, 2026, 4:03 p.m. |
Created at: April 8, 2026, 9:53 p.m.