Triple
T4976131
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vickers machine gun |
E111768
|
entity |
| Predicate | massWithTripod |
P26037
|
FINISHED |
| Object | approximately 50 kg |
—
|
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: approximately 50 kg | Statement: [Vickers machine gun, massWithTripod, approximately 50 kg]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: massWithTripod Context triple: [Vickers machine gun, massWithTripod, approximately 50 kg]
-
A.
givesMassTo
Indicates that one entity transfers or assigns a certain amount of mass to another entity.
-
B.
emptyWeight
Indicates the weight of an object or vehicle when it is empty, excluding any load, cargo, or passengers.
-
C.
hasMass_kg
chosen
Indicates that an entity possesses a specific mass measured in kilograms.
-
D.
carriedBy
Indicates that one entity is physically supported and transported by another entity.
-
E.
heightWithPedestal
Indicates the total vertical measurement of an object including the height of its supporting pedestal.
- 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_69bd441a0eb481908050fa4273b19eae |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd730a7590819088ab8d49c5c88c2f |
completed | March 20, 2026, 4:17 p.m. |
| PD | Predicate disambiguation | batch_69bd7146e6e881908a55ab2756b631f6 |
completed | March 20, 2026, 4:09 p.m. |
Created at: March 20, 2026, 1:33 p.m.