Triple
T11570657
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Columbia Lions |
E274376
|
entity |
| Predicate | teamColors |
P60
|
FINISHED |
| Object | Columbia blue |
E99597
|
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: Columbia blue | Statement: [Columbia Lions, teamColors, Columbia blue]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Columbia blue Context triple: [Columbia Lions, teamColors, Columbia blue]
-
A.
Columbia blue
chosen
Columbia blue is a light, powdery shade of blue traditionally associated with and popularized by Columbia University.
-
B.
Duke blue
Duke blue is the distinctive deep royal blue shade associated with Duke University’s branding and athletic teams.
-
C.
Air Force Blue
Air Force Blue is a champion Thoroughbred racehorse known for his top-level performances in Europe and subsequent career as a stallion at major breeding operations.
-
D.
Yale Blue
Yale Blue is a deep, rich shade of blue traditionally associated with academic institutions and collegiate branding.
-
E.
Wellesley blue
Wellesley blue is the distinctive light blue color traditionally associated with Wellesley College and its branding and athletics.
- 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_69d6aae5ac3c81908d2b0a3a665665b2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d88dd543a48190b834abd8e8ae7b65 |
completed | April 10, 2026, 5:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e6e8dec908819080d97cd33be55b3f |
completed | April 21, 2026, 3:02 a.m. |
Created at: April 8, 2026, 9:37 p.m.