Triple
T18569548
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baggy Greens |
E453840
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | the Baggy Green |
—
|
NE NERFINISHED |
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: the Baggy Green | Statement: [Baggy Greens, alsoKnownAs, the Baggy Green]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: the Baggy Green Context triple: [Baggy Greens, alsoKnownAs, the Baggy Green]
-
A.
Baggy Greens
Baggy Greens is the traditional nickname for the Australian national cricket team, derived from the iconic dark green caps worn by its players.
-
B.
baggy green
chosen
The baggy green is the iconic dark green cricket cap worn by Australian Test players, symbolizing national pride and tradition in Australian cricket.
-
C.
Baggy Trousers
"Baggy Trousers" is a 1980 ska/pop single by the British band Madness, celebrated for its nostalgic lyrics about school days and its energetic, bouncy rhythm.
-
D.
Big Green
Big Green is the nickname and mascot representing the athletic teams and school spirit of Deerfield Academy.
-
E.
Big Green
Big Green is a nonprofit organization focused on building learning gardens and promoting healthy eating and food literacy in schools and communities.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d38974308190a9174430ef256b73 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e53b0075a08190a5d590d36089ca1e |
completed | April 19, 2026, 8:28 p.m. |
Created at: April 10, 2026, 11:43 a.m.