Triple
T28309702
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pattern 1853 socket bayonet |
E713961
|
entity |
| Predicate | fixingPosition |
P9544
|
FINISHED |
| Object | offset to clear the line of sight over the barrel |
—
|
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: offset to clear the line of sight over the barrel | Statement: [Pattern 1853 socket bayonet, fixingPosition, offset to clear the line of sight over the barrel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fixingPosition Context triple: [Pattern 1853 socket bayonet, fixingPosition, offset to clear the line of sight over the barrel]
-
A.
positionFixMethod
Indicates the method or technique used to determine or fix the position of an entity.
-
B.
positioning
chosen
Indicates the spatial or contextual arrangement of one entity relative to another or within a given environment.
-
C.
fixedBy
Indicates that one entity is repaired, corrected, or resolved through the action or intervention of another entity.
-
D.
initiallyPositionedAs
Indicates that one entity’s starting or original position is specified relative to another entity or reference frame.
-
E.
targetedPosition
Indicates a relationship where an action, influence, or focus is specifically directed toward a particular position, role, or location.
- 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.