Triple
T17312540
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Living Computers: Museum + Labs |
E420334
|
entity |
| Predicate | neighborhood |
P988
|
FINISHED |
| Object | SoDo |
E52121
|
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: SoDo | Statement: [Living Computers: Museum + Labs, neighborhood, SoDo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SoDo Context triple: [Living Computers: Museum + Labs, neighborhood, SoDo]
-
A.
SoDo
chosen
SoDo is a neighborhood and industrial district just south of downtown Seattle, Washington, known for its warehouses, stadiums, and transit connections.
-
B.
Soch
Soch is a 2002 Indian Hindi-language psychological thriller film starring Sanjay Kapoor, Raveena Tandon, and Arbaaz Khan, loosely inspired by Alfred Hitchcock’s "Strangers on a Train."
-
C.
Donno So
Donno So is a Dogon language spoken in Mali, known for its distinctive tonal system and complex noun classification.
-
D.
D.O.D.
D.O.D. is a notable album by the Chicago hip hop group Do or Die, showcasing their smooth, melodic gangsta rap style.
-
E.
D.O.D.
D.O.D. is an electronic music producer and DJ known for high-energy house tracks and festival-ready club anthems.
- 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_69d889d22b848190a4663d0b8f8f76e7 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4399a4194819091d34cd3fffc8072 |
completed | April 19, 2026, 2:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0180e6e830819097b33d6b99232727 |
completed | May 11, 2026, 7:10 a.m. |
Created at: April 10, 2026, 5:43 a.m.