Triple
T17356018
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | M1905 bayonet |
E421936
|
entity |
| Predicate | modifiedVariant |
P39487
|
FINISHED |
| Object | M1 bayonet |
—
|
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: M1 bayonet | Statement: [M1905 bayonet, modifiedVariant, M1 bayonet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: modifiedVariant Context triple: [M1905 bayonet, modifiedVariant, M1 bayonet]
-
A.
exportVariantOf
Indicates that one entity is an exported version or externally released form derived from another, original entity.
-
B.
designVariant
chosen
Indicates that one entity is an alternative design or version derived from or related to another entity’s design.
-
C.
variant
Indicates that one entity is an alternative form, version, or variation of another entity.
-
D.
rulesVariantOf
Indicates that one set of rules is a modified or alternative version derived from another set of rules.
-
E.
governsVariant
Indicates a regulatory relationship where one entity controls, influences, or determines the behavior or state of a specific variant of another entity.
- 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_69d889d520008190a26917a95bf1c2ea |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a487bd8819081c6d1e4aa466d6f |
completed | April 19, 2026, 2:13 a.m. |
| PD | Predicate disambiguation | batch_69e3b02662d08190a07d0fb5c04b6f33 |
completed | April 18, 2026, 4:24 p.m. |
Created at: April 10, 2026, 5:44 a.m.