Triple
T7174584
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paris Gun |
E167286
|
entity |
| Predicate | barrelWearIssue |
P75833
|
FINISHED |
| Object | bore diameter increased with each shot |
—
|
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: bore diameter increased with each shot | Statement: [Paris Gun, barrelWearIssue, bore diameter increased with each shot]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: barrelWearIssue Context triple: [Paris Gun, barrelWearIssue, bore diameter increased with each shot]
-
A.
barrelInterchangeability
Indicates that two or more barrels can be exchanged or substituted for one another in a given system without modification or loss of function.
-
B.
numberOfBarrels
Indicates the quantity or count of barrels associated with a given entity or context.
-
C.
hasBarrelConfiguration
Indicates a relationship where an object is characterized by or assigned a specific arrangement or configuration of its barrel or barrels.
-
D.
brakeWear
Indicates that an entity is experiencing or exhibiting wear, degradation, or reduction in effectiveness of its braking components or braking function.
-
E.
wears
Indicates that one entity is dressed in, or has on its body, a particular item such as clothing or accessories.
- 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_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. |
| PDg | Predicate description generation | batch_69c6e9aeb1b08190ace6f978387c89aa |
completed | March 27, 2026, 8:33 p.m. |
Created at: March 27, 2026, 2:48 p.m.