Triple
T7174582
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paris Gun |
E167286
|
entity |
| Predicate | firingRate |
P17731
|
FINISHED |
| Object | about 20 rounds per day per gun at most |
—
|
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 20 rounds per day per gun at most | Statement: [Paris Gun, firingRate, about 20 rounds per day per gun at most]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firingRate Context triple: [Paris Gun, firingRate, about 20 rounds per day per gun at most]
-
A.
rateOfFire
chosen
Indicates the frequency at which a weapon or system can discharge projectiles or shots over a given period of time.
-
B.
fireFrequency
Indicates how often fire occurs or is expected to occur within a given area or time period.
-
C.
durationOfFiring
Indicates the length of time that a firing event or process continues.
-
D.
firingDirection
Indicates the direction or trajectory along which a firing action (such as shooting or launching a projectile) is aimed or executed.
-
E.
frequency
Indicates how often an event, action, or relationship occurs within a given period or context.
- 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_69c68889a2748190a316c5e65360361a |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e9b045c48190b27b2d6f7c11026f |
completed | March 27, 2026, 8:33 p.m. |
| PD | Predicate disambiguation | batch_69c6e74fb0f48190b2ad4dd4efdd241a |
completed | March 27, 2026, 8:23 p.m. |
Created at: March 27, 2026, 2:48 p.m.