Triple
T15030093
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kristallvertikalaccent |
E378319
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
glasobelisken
Glasobelisken is a tall glass obelisk sculpture in Stockholm, Sweden, known for its striking illuminated crystal-like design in Sergels torg.
|
E1134015
|
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: glasobelisken | Statement: [Kristallvertikalaccent, alsoKnownAs, glasobelisken]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: glasobelisken Context triple: [Kristallvertikalaccent, alsoKnownAs, glasobelisken]
-
A.
Glasriket
Glasriket is a renowned glassmaking region in southern Sweden famous for its traditional crystal and art glass production.
-
B.
Polglase
Polglase is a surname most notably associated with Van Nest Polglase, an American art director prominent in early Hollywood cinema.
-
C.
GØGGS
GØGGS is a garage-punk/psychedelic rock band known for its noisy, aggressive sound and featuring prolific musician Ty Segall among its core members.
-
D.
Glisy
Glisy is a commune in northern France’s Somme department, situated just east of Amiens.
-
E.
glo
glo is a heated tobacco product brand developed by British American Tobacco as an alternative to traditional cigarettes.
- 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: glasobelisken Triple: [Kristallvertikalaccent, alsoKnownAs, glasobelisken]
Generated description
Glasobelisken is a tall glass obelisk sculpture in Stockholm, Sweden, known for its striking illuminated crystal-like design in Sergels torg.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: glasobelisken Target entity description: Glasobelisken is a tall glass obelisk sculpture in Stockholm, Sweden, known for its striking illuminated crystal-like design in Sergels torg.
-
A.
Glasriket
Glasriket is a renowned glassmaking region in southern Sweden famous for its traditional crystal and art glass production.
-
B.
Polglase
Polglase is a surname most notably associated with Van Nest Polglase, an American art director prominent in early Hollywood cinema.
-
C.
GØGGS
GØGGS is a garage-punk/psychedelic rock band known for its noisy, aggressive sound and featuring prolific musician Ty Segall among its core members.
-
D.
Glisy
Glisy is a commune in northern France’s Somme department, situated just east of Amiens.
-
E.
glo
glo is a heated tobacco product brand developed by British American Tobacco as an alternative to traditional cigarettes.
- 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_69d85cd46b2c819090d054c27787f677 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded7e2416081908dfba48d7f7b4a84 |
completed | April 15, 2026, 12:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe9dd967588190821cf47e9734db21 |
completed | May 9, 2026, 2:37 a.m. |
| NEDg | Description generation | batch_69fe9e5dbbe0819084567688758b0245 |
completed | May 9, 2026, 2:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe9eedca1481908ce438991184d62e |
completed | May 9, 2026, 2:41 a.m. |
Created at: April 10, 2026, 2:59 a.m.