Triple
T7870646
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | M4 carbine |
E182727
|
entity |
| Predicate | weightLoaded |
P1575
|
FINISHED |
| Object | about 7.5 lb with 30-round magazine |
—
|
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: about 7.5 lb with 30-round magazine | Statement: [M4 carbine, weightLoaded, about 7.5 lb with 30-round magazine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: weightLoaded Context triple: [M4 carbine, weightLoaded, about 7.5 lb with 30-round magazine]
-
A.
weight
chosen
Indicates a relationship where a numerical value quantifies how heavy an entity is, often used to measure or compare mass or load.
-
B.
weightIssue
Indicates that there is a problem, concern, or abnormal condition related to the weight of an entity.
-
C.
emptyWeight
Indicates the weight of an object or vehicle when it is empty, excluding any load, cargo, or passengers.
-
D.
weighInLocation
Indicates that an entity’s weight is measured or recorded at a specific location.
-
E.
وزن
Indicates a relationship where one entity has, measures, or is characterized by a certain weight or mass.
- 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_69ca82894d9081908a832bfce71a4714 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb384a285881908a5b2de278f9556f |
completed | March 31, 2026, 2:58 a.m. |
| PD | Predicate disambiguation | batch_69cae925ca388190ae4a01fa76e957e8 |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 4:55 p.m.