Triple
T8131848
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KeyMod |
E189869
|
entity |
| Predicate | mountingSurface |
P29518
|
FINISHED |
| Object | handguard outer surface |
—
|
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: handguard outer surface | Statement: [KeyMod, mountingSurface, handguard outer surface]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mountingSurface Context triple: [KeyMod, mountingSurface, handguard outer surface]
-
A.
notableSurface
Indicates that one entity is a surface or exterior of particular significance or prominence in relation to another entity.
-
B.
mountingLocation
chosen
Indicates the physical position or surface on which something is attached, fixed, or installed.
-
C.
surfaceType
Indicates the kind or classification of surface associated with an entity or interaction.
-
D.
surfaceFeatureOf
Indicates that one entity is a surface-level characteristic, pattern, or feature belonging to or present on another entity.
-
E.
outerSurface
Indicates that one entity forms the external boundary or outermost layer 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_69ca82bcb4848190a9a9d036ad768642 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4c4c2e388190b86854f8b1765e61 |
completed | March 31, 2026, 4:23 a.m. |
| PD | Predicate disambiguation | batch_69cb3696379c8190a20965e59ed8f370 |
completed | March 31, 2026, 2:51 a.m. |
Created at: March 30, 2026, 5:34 p.m.