Triple
T7597277
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cambridge blue |
E179887
|
entity |
| Predicate | contrastedWith |
P278
|
FINISHED |
| Object | Oxford blue |
E33724
|
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: Oxford blue | Statement: [Cambridge blue, contrastedWith, Oxford blue]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oxford blue Context triple: [Cambridge blue, contrastedWith, Oxford blue]
-
A.
Oxford blue
chosen
Oxford blue is a dark, rich shade of navy traditionally associated with the University of Oxford and its sports teams.
-
B.
Cambridge blue
Cambridge blue is a light, greyish-blue color traditionally associated with the University of Cambridge and its sports teams.
-
C.
Wellesley blue
Wellesley blue is the distinctive light blue color traditionally associated with Wellesley College and its branding and athletics.
-
D.
Dartmouth green
Dartmouth green is the distinctive dark green color traditionally associated with Dartmouth College and used prominently in its branding and athletic uniforms.
-
E.
Camel Blue
Camel Blue is a popular lighter-tar, filtered cigarette variety in the Camel brand’s product line.
- 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_69c69f3487ec8190bf7acdf2dd91e6d6 |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c6f9d4d3408190b9650347c7850c47 |
completed | March 27, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c86846192c81909154e6cf60b21157 |
completed | March 28, 2026, 11:46 p.m. |
Created at: March 27, 2026, 3:53 p.m.