Triple
T10083605
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tampa Bay Rowdies |
E213963
|
entity |
| Predicate | kitPatternTradition |
P5928
|
FINISHED |
| Object | green and yellow hoops |
—
|
LITERAL 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: green and yellow hoops | Statement: [Tampa Bay Rowdies, kitPatternTradition, green and yellow hoops]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: kitPatternTradition Context triple: [Tampa Bay Rowdies, kitPatternTradition, green and yellow hoops]
-
A.
kitPattern
chosen
Indicates the design or visual pattern featured on a team's kit or uniform.
-
B.
traditionalMotif
Indicates that something incorporates, represents, or is characterized by a motif rooted in established cultural or historical traditions.
-
C.
traditionCharacteristic
Indicates that a particular quality, feature, or attribute is characteristic of, or typically associated with, a given tradition.
-
D.
maskMaterialTradition
Indicates a relationship where a mask is associated with, or originates from, a particular material tradition or customary way of making masks.
-
E.
variantTraditions
Indicates that there exist differing or alternative traditions or customary practices associated with the same subject or context.
- F. None of above.
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_69ca839bf730819086900c323c9b8c95 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdd04352d081908f676444cd2d2578 |
completed | April 2, 2026, 2:11 a.m. |
| PD | Predicate disambiguation | batch_69cd4b97870481908f7a89df10d58a9e |
completed | April 1, 2026, 4:45 p.m. |
Created at: March 30, 2026, 9 p.m.