Triple
T2439435
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | StuG III |
E53237
|
entity |
| Predicate | combatWeightRange |
P26162
|
FINISHED |
| Object | 20–24 tonnes |
—
|
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: 20–24 tonnes | Statement: [StuG III, combatWeightRange, 20–24 tonnes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: combatWeightRange Context triple: [StuG III, combatWeightRange, 20–24 tonnes]
-
A.
weightRangeDescription
chosen
Indicates the textual description that specifies the range within which an entity’s weight falls.
-
B.
emptyWeight
Indicates the weight of an object or vehicle when it is empty, excluding any load, cargo, or passengers.
-
C.
combatArm
Indicates that one entity serves as a primary fighting or operational warfare branch or component of another entity (such as an organization or military force).
-
D.
averageWeight
Indicates the typical or mean weight value associated with an entity or group of entities.
-
E.
typicalAircraftStrength
Indicates the usual or characteristic level of military strength or capability associated with an aircraft.
- 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_69ab495b6dac8190ac82661aa1452222 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abcebf7cac8190889e6890d72c256c |
completed | March 7, 2026, 7:07 a.m. |
| PD | Predicate disambiguation | batch_69abc5ac11b081908ce6a506e81a742a |
completed | March 7, 2026, 6:29 a.m. |
Created at: March 6, 2026, 9:43 p.m.