Triple
T35881875
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tank Destruction Badge |
E1037531
|
entity |
| Predicate | silverClassCriteria |
P183939
|
FINISHED |
| Object | awarded for each single tank destroyed |
—
|
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: awarded for each single tank destroyed | Statement: [Tank Destruction Badge, silverClassCriteria, awarded for each single tank destroyed]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: silverClassCriteria Context triple: [Tank Destruction Badge, silverClassCriteria, awarded for each single tank destroyed]
-
A.
silverContentStandard
Indicates the standard or required amount of silver content specified for something, such as a material, product, or item.
-
B.
higherSilverContentThan
Indicates that one entity has a greater amount or proportion of silver content than another entity.
-
C.
valueCriterion
Indicates that something is evaluated or selected based on a specified standard, rule, or measure of value.
-
D.
areClassifiedBy
Indicates that entities are assigned to one or more categories, types, or classes according to a specified classification scheme.
-
E.
selectionCriteria
Indicates the conditions or rules used to choose certain entities from a larger set.
- 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_69f76e1f4d748190bb55594d8441d70e |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7aaabb58c8190bf81673608ecfb6e |
completed | May 3, 2026, 8:06 p.m. |
| PD | Predicate disambiguation | batch_69f7a8d435288190b30b1991fb003121 |
completed | May 3, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69f7aa33e0488190a135166bb67e1118 |
completed | May 3, 2026, 8:04 p.m. |
Created at: May 3, 2026, 4:06 p.m.