Triple
T22122467
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spanish Flea |
E546704
|
entity |
| Predicate | hasArrangementFeature |
P147075
|
FINISHED |
| Object | brass section focus |
—
|
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: brass section focus | Statement: [Spanish Flea, hasArrangementFeature, brass section focus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasArrangementFeature Context triple: [Spanish Flea, hasArrangementFeature, brass section focus]
-
A.
hasArrangement
Indicates that one entity possesses, follows, or is organized according to a particular configuration, setup, or ordering defined by another entity.
-
B.
hasArrangementFor
Indicates that one entity has an established plan, setup, or provision in place to accommodate, support, or serve another entity or purpose.
-
C.
hasArrangementBy
Indicates that something (such as a work or piece) is in an arranged form created by a particular arranger.
-
D.
canBeArrangedFor
Indicates that one entity is able to be scheduled, organized, or set up on behalf of or for the benefit of another entity.
-
E.
isArrangementOf
Indicates that one entity is a specific ordering or configuration of the components or elements of another entity.
- F. None of above. chosen
Provenance (4 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_69e11e38b3848190ac3a4fa97d56e65a |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1297f3fb48190b6aaca18b40c37ab |
completed | April 28, 2026, 9:41 p.m. |
| PD | Predicate disambiguation | batch_69e71b2ed7348190b6fa2e52f54393fb |
completed | April 21, 2026, 6:37 a.m. |
| PDg | Predicate description generation | batch_69e7222d208c819098b12c13e31af629 |
completed | April 21, 2026, 7:07 a.m. |
Created at: April 16, 2026, 8:31 p.m.