Triple
T34641370
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baker rifle |
E889565
|
entity |
| Predicate | maximumPracticalRange |
P14301
|
FINISHED |
| Object | up to 600 yards in skilled hands |
—
|
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: up to 600 yards in skilled hands | Statement: [Baker rifle, maximumPracticalRange, up to 600 yards in skilled hands]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maximumPracticalRange Context triple: [Baker rifle, maximumPracticalRange, up to 600 yards in skilled hands]
-
A.
maximumReach
chosen
Indicates the greatest extent, distance, or limit that something can reach or influence within a given context.
-
B.
downrangeDistance_km
Indicates the horizontal distance, measured in kilometers, that an object has traveled along its ground track from a defined launch or reference point.
-
C.
isLongRange
Indicates that the relationship or action involves operating effectively over a large or extended distance.
-
D.
maximumRangeNauticalMiles
Indicates the greatest distance, measured in nautical miles, that something can travel or operate under specified conditions.
-
E.
radarDetectionRange_km
Indicates the maximum distance in kilometers at which a radar system can detect a target.
- 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_69f349d724848190b63ad3407e0006d9 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fd231cab588190ad0953dc8f4af8f2 |
completed | May 7, 2026, 11:41 p.m. |
| PD | Predicate disambiguation | batch_69fd1aa3f1c481909fe6e9cab1383551 |
completed | May 7, 2026, 11:05 p.m. |
Created at: May 1, 2026, 2:04 a.m.