Triple
T28309156
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | .223 Remington |
E713949
|
entity |
| Predicate | shoulderDiameter |
P109030
|
FINISHED |
| Object | 0.354 inch |
—
|
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: 0.354 inch | Statement: [.223 Remington, shoulderDiameter, 0.354 inch]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shoulderDiameter Context triple: [.223 Remington, shoulderDiameter, 0.354 inch]
-
A.
hasShoulderDiameter
chosen
Indicates the diameter measurement of an entity’s shoulder region or shoulder-related feature.
-
B.
shoulderHeightRange
Indicates the range of vertical height measured from the ground to an entity’s shoulders.
-
C.
bodyDiameter
Indicates the measurement of how wide an object's body is across its broadest cross-section.
-
D.
neckDiameter
Indicates the width or thickness of an object's neck portion, typically measured as the diameter across that narrowed section.
-
E.
shellDiameter
Indicates the diameter measurement of a shell, typically specifying the distance across it at its widest point.
- 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_69efb5256afc8190b9322d25c3ae6320 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69f644e0e9e48190818f7bf2204ec741 |
completed | May 2, 2026, 6:39 p.m. |
| PD | Predicate disambiguation | batch_69f641e0fde08190bf06a1c5b388aa84 |
completed | May 2, 2026, 6:26 p.m. |
Created at: April 27, 2026, 11:39 p.m.