Triple
T28219565
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RPK light machine gun |
E711413
|
entity |
| Predicate | buttstockFeature |
P164135
|
FINISHED |
| Object | club-foot stock for prone support |
—
|
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: club-foot stock for prone support | Statement: [RPK light machine gun, buttstockFeature, club-foot stock for prone support]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: buttstockFeature Context triple: [RPK light machine gun, buttstockFeature, club-foot stock for prone support]
-
A.
buttstockAdjustability
Indicates whether and how the buttstock of a firearm can be adjusted (e.g., for length, height, or angle) relative to the rest of the weapon.
-
B.
beltFeature
Indicates that an entity possesses or is characterized by a specific belt-related attribute or component.
-
C.
spanCharacteristic
Indicates that one entity has a particular measurable or descriptive property that characterizes the extent, duration, or range of another entity or phenomenon.
-
D.
dressFeature
Indicates that a dress possesses or is characterized by a particular feature, attribute, or design element.
-
E.
brandAttribute
Indicates that a specific attribute or characteristic is associated with, or describes, a particular brand.
- F. None of above. chosen
Provenance (4 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_69efb51dfb048190ada79b745c33b363 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69f6434f9f888190bd43fde92cd729fe |
completed | May 2, 2026, 6:32 p.m. |
| PD | Predicate disambiguation | batch_69f63c6c1a948190b68c0f92c264cc0c |
completed | May 2, 2026, 6:03 p.m. |
| PDg | Predicate description generation | batch_69f63fd4f7448190930c723ba7cfce62 |
completed | May 2, 2026, 6:17 p.m. |
Created at: April 27, 2026, 10:45 p.m.