Triple
T8440516
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MG4 light machine gun |
E199339
|
entity |
| Predicate | feedDevice |
P83374
|
FINISHED |
| Object | disintegrating metal link belt |
—
|
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: disintegrating metal link belt | Statement: [MG4 light machine gun, feedDevice, disintegrating metal link belt]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: feedDevice Context triple: [MG4 light machine gun, feedDevice, disintegrating metal link belt]
-
A.
feedSystem
Indicates that one entity supplies or provides input, resources, or data into another entity or system for its operation or processing.
-
B.
feedsAccelerator
Indicates that one entity supplies or directs input, resources, or power into an accelerator system for its operation.
-
C.
feedsOn
Indicates that one entity obtains nourishment by consuming another entity as food.
-
D.
feedsReservoir
Indicates that one entity supplies or channels a flow (such as water or another resource) into a reservoir.
-
E.
feedsCanal
Indicates that one water source supplies or channels water into a canal.
- 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_69ca8314cd6c8190a6b8c2a1096e18f3 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe30fba4081908bfdef3faf5baceb |
completed | March 31, 2026, 3:06 p.m. |
| PD | Predicate disambiguation | batch_69cbd0f5a3648190beb53a139a2d5482 |
completed | March 31, 2026, 1:49 p.m. |
| PDg | Predicate description generation | batch_69cbe30c2d088190b4cb89adb4e88273 |
completed | March 31, 2026, 3:06 p.m. |
Created at: March 30, 2026, 6:08 p.m.