Triple
T14181331
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Q1 building |
E351458
|
entity |
| Predicate | architect |
P184
|
FINISHED |
| Object |
Atelier SDG
Atelier SDG is an architectural firm known for designing contemporary buildings such as the Q1 building.
|
E1083702
|
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: Atelier SDG | Statement: [Q1 building, architect, Atelier SDG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Atelier SDG Context triple: [Q1 building, architect, Atelier SDG]
-
A.
GoodPlanet Foundation
GoodPlanet Foundation is a French non-profit organization dedicated to environmental protection, sustainability education, and promoting ecological awareness worldwide.
-
B.
SDG
SDG is the three-letter ISO 4217 currency code representing the Sudanese pound, the official currency of Sudan.
-
C.
The Solutions Project
The Solutions Project is a nonprofit organization that promotes a transition to 100% clean, renewable energy through advocacy, research, and support for community-led climate solutions.
-
D.
SDSG
SDSG is the commonly used abbreviation for the federal electoral district of Stormont—Dundas—South Glengarry in Ontario, Canada.
-
E.
Skoll Foundation
The Skoll Foundation is a philanthropic organization that supports social entrepreneurs and innovative solutions to the world’s most pressing problems.
- 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: Atelier SDG Triple: [Q1 building, architect, Atelier SDG]
Generated description
Atelier SDG is an architectural firm known for designing contemporary buildings such as the Q1 building.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Atelier SDG Target entity description: Atelier SDG is an architectural firm known for designing contemporary buildings such as the Q1 building.
-
A.
GoodPlanet Foundation
GoodPlanet Foundation is a French non-profit organization dedicated to environmental protection, sustainability education, and promoting ecological awareness worldwide.
-
B.
SDG
SDG is the three-letter ISO 4217 currency code representing the Sudanese pound, the official currency of Sudan.
-
C.
The Solutions Project
The Solutions Project is a nonprofit organization that promotes a transition to 100% clean, renewable energy through advocacy, research, and support for community-led climate solutions.
-
D.
SDSG
SDSG is the commonly used abbreviation for the federal electoral district of Stormont—Dundas—South Glengarry in Ontario, Canada.
-
E.
Skoll Foundation
The Skoll Foundation is a philanthropic organization that supports social entrepreneurs and innovative solutions to the world’s most pressing problems.
- 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_69d8278834a08190b0f1784e58d7b99c |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61ca3ad88190944850c97760dcbf |
completed | April 14, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcf8114774819094670dd800a40796 |
completed | May 7, 2026, 8:37 p.m. |
| NEDg | Description generation | batch_69fd04c17ee881908c84a2d0dbdc491e |
completed | May 7, 2026, 9:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd065c9ecc81908ea544f42136e32c |
completed | May 7, 2026, 9:38 p.m. |
Created at: April 10, 2026, 1:02 a.m.