Triple
T19484703
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | L.D. Bell High School |
E487479
|
entity |
| Predicate | bandRecognition |
P1597
|
FINISHED |
| Object | nationally recognized marching band |
—
|
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: nationally recognized marching band | Statement: [L.D. Bell High School, bandRecognition, nationally recognized marching band]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bandRecognition Context triple: [L.D. Bell High School, bandRecognition, nationally recognized marching band]
-
A.
areRecognizedBy
Indicates that one entity acknowledges, identifies, or accepts another entity as valid, known, or legitimate.
-
B.
musicAccreditation
Indicates that an entity has been formally recognized, certified, or authorized in the field of music by a relevant accrediting body.
-
C.
fieldOfRecognition
chosen
Indicates the domain, discipline, or area in which an entity is formally acknowledged, honored, or recognized.
-
D.
recognitionBasis
Indicates the grounds, criteria, or evidence upon which something or someone is acknowledged, identified, or formally recognized.
-
E.
creditRecognition
Indicates that one party formally acknowledges and accepts academic or professional credits earned from another source.
- 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_69d8e8d924388190b847cb15bb3d0aff |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6343dcc748190b0df816e6ab4cafb |
completed | April 20, 2026, 2:12 p.m. |
| PD | Predicate disambiguation | batch_69e4fd7883308190b73912a71a35a835 |
completed | April 19, 2026, 4:06 p.m. |
Created at: April 10, 2026, 1:39 p.m.