Triple
T12782685
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gibson Flying V |
E305545
|
entity |
| Predicate | usesPickupType |
P106875
|
FINISHED |
| Object | humbucker pickup |
—
|
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: humbucker pickup | Statement: [Gibson Flying V, usesPickupType, humbucker pickup]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesPickupType Context triple: [Gibson Flying V, usesPickupType, humbucker pickup]
-
A.
hasPickup
Indicates that one entity is assigned or associated with a specific pickup location, time, or arrangement for collection.
-
B.
typicalPickupType
Indicates the usual or standard method by which an item or order is collected or picked up.
-
C.
pickupType
Indicates the manner or method by which an item or person is collected or retrieved (e.g., in-store pickup, curbside, scheduled pickup).
-
D.
typicalPickupConfiguration
Indicates the usual or standard arrangement or setup used for picking up or collecting something in a given context.
-
E.
pickupConfiguration
Indicates the specific arrangement or setup in which one entity is collected, retrieved, or picked up by another.
- 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_69d7bdf2b43c819098ae5aa68e61ea58 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96e5b52048190b279b7ad066efe9f |
completed | April 10, 2026, 9:40 p.m. |
| PD | Predicate disambiguation | batch_69d9640ba0688190973e4e7ec8d4a8e0 |
completed | April 10, 2026, 8:56 p.m. |
| PDg | Predicate description generation | batch_69d96d87078c819083ea724238992204 |
completed | April 10, 2026, 9:37 p.m. |
Created at: April 9, 2026, 5:29 p.m.