Triple
T15569461
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Portuguese guitar |
E374200
|
entity |
| Predicate | stringArrangement |
P2362
|
FINISHED |
| Object | 6 courses of 2 strings |
—
|
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: 6 courses of 2 strings | Statement: [Portuguese guitar, stringArrangement, 6 courses of 2 strings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stringArrangement Context triple: [Portuguese guitar, stringArrangement, 6 courses of 2 strings]
-
A.
arrangement
chosen
Indicates a relationship where entities are organized, ordered, or positioned in a particular configuration or sequence relative to one another.
-
B.
needleArrangement
Indicates how needles are positioned or organized relative to each other in a given context.
-
C.
isArrangementOf
Indicates that one entity is a specific ordering or configuration of the components or elements of another entity.
-
D.
arrangementType
Indicates the specific kind or category of arrangement that characterizes how the related entities are organized or structured in relation to each other.
-
E.
featuresStringArrangementBy
Indicates that something presents or includes a specific arrangement or ordering of strings that is determined or provided by a particular agent or 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_69d85ccd575081908909b71a3f3e3a61 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e1de0488190b3639fc25f79d343 |
completed | April 16, 2026, 2:49 a.m. |
| PD | Predicate disambiguation | batch_69deda7e6e748190b29ccce23298afef |
completed | April 15, 2026, 12:23 a.m. |
Created at: April 10, 2026, 4:10 a.m.