Triple
T2524348
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Subaru Park |
E55999
|
entity |
| Predicate | architect |
P184
|
FINISHED |
| Object | Rossetti Architects |
E159520
|
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: Rossetti Architects | Statement: [Subaru Park, architect, Rossetti Architects]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rossetti Architects Context triple: [Subaru Park, architect, Rossetti Architects]
-
A.
Rossetti Architects
chosen
Rossetti Architects is an American architecture firm known for designing major sports and entertainment venues, including Red Bull Arena.
-
B.
Cooper-Lecky Architects
Cooper-Lecky Architects is an American architectural firm best known for creating prominent public memorials, including the Korean War Veterans Memorial in Washington, D.C.
-
C.
Fabre-Speller Architects
Fabre-Speller Architects is an architectural firm known for designing the Mariinsky Concert Hall in Saint Petersburg, Russia.
-
D.
Scharfstein Architects
Scharfstein Architects is an architectural firm known for its role in designing the Red Bull Arena soccer stadium in Harrison, New Jersey.
-
E.
Brown and Storey Architects
Brown and Storey Architects is a Canadian architectural firm known for innovative urban design projects in Toronto, including prominent public spaces.
- 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_69ab4a48e4f081908f1218d244608659 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd252f1c88190ac93604542f80f49 |
completed | March 7, 2026, 7:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af2bacd4108190980b32c9fa302a72 |
completed | March 9, 2026, 8:21 p.m. |
Created at: March 6, 2026, 9:46 p.m.