Triple
T38218680
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | M41A pulse rifle |
E1010750
|
entity |
| Predicate | fictionalMagazineCapacity |
P200116
|
FINISHED |
| Object | 99 rounds |
—
|
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: 99 rounds | Statement: [M41A pulse rifle, fictionalMagazineCapacity, 99 rounds]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fictionalMagazineCapacity Context triple: [M41A pulse rifle, fictionalMagazineCapacity, 99 rounds]
-
A.
fictionalMagazine
Indicates that one entity is a magazine that exists only within a fictional or imaginary context, rather than in the real world.
-
B.
capacityThresholdForMagazines
Indicates the maximum allowed or defined capacity limit specifically applicable to magazines.
-
C.
magazineSerialization
Indicates that a work is being published in sequential installments within a magazine.
-
D.
ownedMagazine
Indicates that one entity possessed or held ownership of a particular magazine.
-
E.
magazineType
Indicates the specific category or genre to which a magazine belongs.
- 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_69ff7595c9bc8190982c6e6e07a0c78f |
completed | May 9, 2026, 5:57 p.m. |
| PD | Predicate disambiguation | batch_69ff715432a88190a25670d26614bde2 |
completed | May 9, 2026, 5:39 p.m. |
| PDg | Predicate description generation | batch_69ff7594c6c081909e812e4e04e63530 |
completed | May 9, 2026, 5:57 p.m. |
Created at: May 3, 2026, 4:30 p.m.