Triple
T7727065
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gibson F-5 style mandolin |
E175156
|
entity |
| Predicate | hasTailpieceType |
P38399
|
FINISHED |
| Object | metal tailpiece |
—
|
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: metal tailpiece | Statement: [Gibson F-5 style mandolin, hasTailpieceType, metal tailpiece]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTailpieceType Context triple: [Gibson F-5 style mandolin, hasTailpieceType, metal tailpiece]
-
A.
hasTailShape
Indicates that an entity possesses a tail with a specific shape or form.
-
B.
tailpieceType
chosen
Indicates the specific kind or design of tailpiece associated with an instrument or object.
-
C.
hasTailLengthRange
Indicates that an entity is associated with a specified minimum and maximum length for its tail.
-
D.
tailCharacteristic
Indicates that an entity possesses a particular property, feature, or quality specifically related to its tail.
-
E.
hasOrnamentation
Indicates that an entity possesses decorative features or embellishments applied to its surface or structure.
- 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_69c6995d541c81909eaa646b1a8369a9 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c7074eca4c8190bd51fd1b450729e8 |
completed | March 27, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69c7016a6cf88190b53bf4b958f0f302 |
completed | March 27, 2026, 10:15 p.m. |
Created at: March 27, 2026, 4:06 p.m.