Triple
T38218700
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | M41A pulse rifle |
E1010750
|
entity |
| Predicate | inspiredRealWorldReplica |
P165047
|
FINISHED |
| Object | airsoft guns |
—
|
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: airsoft guns | Statement: [M41A pulse rifle, inspiredRealWorldReplica, airsoft guns]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inspiredRealWorldReplica Context triple: [M41A pulse rifle, inspiredRealWorldReplica, airsoft guns]
-
A.
inspiredRealWorldImitations
chosen
Indicates that one entity served as the model or motivation for real-world copies, adaptations, or imitations of it.
-
B.
inspiredRealWorldProduct
Indicates that one entity served as the creative or conceptual basis that led to the development of a real-world product represented by the other entity.
-
C.
inspiredRealWorldAttraction
Indicates that one entity served as the creative basis or model for a real-world attraction associated with the other entity.
-
D.
buildingInspired
Indicates that one building’s design, style, or concept was influenced or derived from another building.
-
E.
soldInRealWorld
Indicates that the item or product is actually sold or available for purchase in the physical, real-world marketplace.
- 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_69fdbc5ef46c8190bbcfb9798f4615b7 |
completed | May 8, 2026, 10:35 a.m. |
| PD | Predicate disambiguation | batch_69fdbb270338819082ce3f73903e884f |
completed | May 8, 2026, 10:29 a.m. |
Created at: May 3, 2026, 4:30 p.m.