Triple
T21674315
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tele |
E534928
|
entity |
| Predicate | hasFingerboardRadius |
P61827
|
FINISHED |
| Object | 7.25 inches |
—
|
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: 7.25 inches | Statement: [Tele, hasFingerboardRadius, 7.25 inches]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFingerboardRadius Context triple: [Tele, hasFingerboardRadius, 7.25 inches]
-
A.
fingerboardRadius
chosen
Indicates the curvature radius of a fingerboard, describing how rounded or flat it is across its width.
-
B.
hasFingerboardWood
Indicates that one entity uses or features the other as the material of its fingerboard.
-
C.
hasFingeringSystem
Indicates that an instrument or object is associated with a particular method or system for positioning fingers to produce notes or actions.
-
D.
hasFrets
Indicates that an instrument or similar object possesses frets, i.e., raised elements on its neck or surface that divide it into fixed pitch intervals.
-
E.
hasPedalboardRange
Indicates the range of notes or pitches that can be played using a pedalboard.
- 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_69e0c46898008190aa618a4af55bd1ee |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef8a0ed5388190b8f1932fb3f11c6a |
completed | April 27, 2026, 4:08 p.m. |
| PD | Predicate disambiguation | batch_69e6968abfdc81909cf9e0bd72db9eca |
completed | April 20, 2026, 9:11 p.m. |
Created at: April 16, 2026, 6:41 p.m.