Triple
T11721443
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gibson Les Paul |
E278641
|
entity |
| Predicate | scaleLengthInches |
P75639
|
FINISHED |
| Object | 24.75 |
—
|
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: 24.75 | Statement: [Gibson Les Paul, scaleLengthInches, 24.75]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scaleLengthInches Context triple: [Gibson Les Paul, scaleLengthInches, 24.75]
-
A.
dimensionOfLength
chosen
Indicates that something represents or specifies a measurement along a single spatial extent (a length dimension).
-
B.
reachInInches
Indicates the distance an entity can extend or reach, measured in inches.
-
C.
properLengthMeasuredIn
Indicates that the proper (intrinsic or rest-frame) length of an entity is expressed using a specified unit of measurement.
-
D.
designedToMeasure
Indicates that one entity was intentionally created or configured for the purpose of quantifying, assessing, or evaluating another entity or its properties.
-
E.
trailLengthApprox
Indicates an approximate measurement of the total length of a trail.
- 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_69d6aaff2ce88190b4a1e4b341ad5377 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a4c373088190bc2ae77a1696d280 |
completed | April 10, 2026, 7:20 a.m. |
| PD | Predicate disambiguation | batch_69d88a7f51248190bf492bd7509b5413 |
completed | April 10, 2026, 5:28 a.m. |
Created at: April 8, 2026, 9:40 p.m.