Triple
T13400566
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Turning Torso |
E319815
|
entity |
| Predicate | precededBy |
P97
|
FINISHED |
| Object |
Kaknästornet
Kaknästornet is a prominent telecommunications and observation tower in Stockholm, Sweden, known for its modernist design and panoramic city views.
|
E1039076
|
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: Kaknästornet | Statement: [Turning Torso, precededBy, Kaknästornet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kaknästornet Context triple: [Turning Torso, precededBy, Kaknästornet]
-
A.
Gustavsberg
Gustavsberg is a locality in Sweden best known for its historic porcelain factory and role as a suburban community in the Stockholm archipelago.
-
B.
Skarpäng
Skarpäng is a residential urban area within Täby Municipality in Stockholm County, Sweden.
-
C.
Åreskutan
Åreskutan is a prominent mountain in central Sweden known for hosting one of Scandinavia’s most popular ski resorts and extensive alpine facilities.
-
D.
Skanstull
Skanstull is a district in southern central Stockholm, Sweden, known as a major traffic junction and gateway to the island of Södermalm.
-
E.
Kallhäll
Kallhäll is a suburban district in the Stockholm metropolitan area of Sweden, known for its residential neighborhoods and commuter connections.
- 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: Kaknästornet Triple: [Turning Torso, precededBy, Kaknästornet]
Generated description
Kaknästornet is a prominent telecommunications and observation tower in Stockholm, Sweden, known for its modernist design and panoramic city views.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kaknästornet Target entity description: Kaknästornet is a prominent telecommunications and observation tower in Stockholm, Sweden, known for its modernist design and panoramic city views.
-
A.
Gustavsberg
Gustavsberg is a locality in Sweden best known for its historic porcelain factory and role as a suburban community in the Stockholm archipelago.
-
B.
Skarpäng
Skarpäng is a residential urban area within Täby Municipality in Stockholm County, Sweden.
-
C.
Åreskutan
Åreskutan is a prominent mountain in central Sweden known for hosting one of Scandinavia’s most popular ski resorts and extensive alpine facilities.
-
D.
Skanstull
Skanstull is a district in southern central Stockholm, Sweden, known as a major traffic junction and gateway to the island of Södermalm.
-
E.
Kallhäll
Kallhäll is a suburban district in the Stockholm metropolitan area of Sweden, known for its residential neighborhoods and commuter connections.
- 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_69d806b943cc8190b6af624d385d7e12 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbae47e99081909d8b5dba97a11988 |
completed | April 12, 2026, 2:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f73076a7ac8190bd7898edff7d90e8 |
completed | May 3, 2026, 11:24 a.m. |
| NEDg | Description generation | batch_69f732351cf88190be85186d20b529b7 |
completed | May 3, 2026, 11:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f732d82c308190907e11de42e2c8ea |
completed | May 3, 2026, 11:34 a.m. |
Created at: April 9, 2026, 9:34 p.m.