Triple
T38218678
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | M41A pulse rifle |
E1010750
|
entity |
| Predicate | fictionalCaliber |
P200077
|
FINISHED |
| Object | 10×24mm caseless |
—
|
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: 10×24mm caseless | Statement: [M41A pulse rifle, fictionalCaliber, 10×24mm caseless]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fictionalCaliber Context triple: [M41A pulse rifle, fictionalCaliber, 10×24mm caseless]
-
A.
fictionalType
Indicates that one entity is a fictional or imaginary type or category of the other entity.
-
B.
fictionalMaterial
Indicates that something is made of, composed of, or incorporates a material that exists only in fiction or imagination.
-
C.
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).
-
D.
fictionalFocus
Indicates that the primary emphasis or attention within a context is placed on fictional content, elements, or aspects.
-
E.
fictionalGenre
Indicates that a work of fiction belongs to or is categorized under a particular narrative genre or style.
- 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_69f76dcdc7708190a5f1751d53f40ffe |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69ff6fba1a5c8190a660279a6271d785 |
completed | May 9, 2026, 5:32 p.m. |
| PD | Predicate disambiguation | batch_69ff6f59388c8190a7d6ab7bc7705bc0 |
completed | May 9, 2026, 5:31 p.m. |
| PDg | Predicate description generation | batch_69ff6fb9691c819082ee2f3c648b7dc1 |
completed | May 9, 2026, 5:32 p.m. |
Created at: May 3, 2026, 4:30 p.m.