Triple
T38218679
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | M41A pulse rifle |
E1010750
|
entity |
| Predicate | fictionalRateOfFire |
P17731
|
FINISHED |
| Object | 900 rounds per minute |
—
|
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: 900 rounds per minute | Statement: [M41A pulse rifle, fictionalRateOfFire, 900 rounds per minute]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fictionalRateOfFire Context triple: [M41A pulse rifle, fictionalRateOfFire, 900 rounds per minute]
-
A.
fictionalCaliber
Indicates that an entity is associated with a caliber or measurement standard that exists only in fiction rather than in real-world practice.
-
B.
rateOfFire
chosen
Indicates the frequency at which a weapon or system can discharge projectiles or shots over a given period of time.
-
C.
gunRate
Indicates the rate or frequency at which guns are present, owned, used, or involved in incidents within a given context.
-
D.
fictionalInvention
Indicates that one entity is an invention or creation that exists only within the fictional context of another entity (such as a story, universe, or work).
-
E.
fictionalField
Indicates that the subject is associated with a fictional or imaginary field, domain, or area rather than a real-world one.
- 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_69f76dcdc7708190a5f1751d53f40ffe |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69ff70ecc1a481909571b18d56d982b8 |
completed | May 9, 2026, 5:37 p.m. |
| PD | Predicate disambiguation | batch_69ff70322a3c8190837840ea42cd3093 |
completed | May 9, 2026, 5:34 p.m. |
Created at: May 3, 2026, 4:30 p.m.