Triple
T35881876
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tank Destruction Badge |
E1037531
|
entity |
| Predicate | goldClassCriteria |
P183940
|
FINISHED |
| Object | awarded for destruction of five tanks |
—
|
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 destruction of five tanks | Statement: [Tank Destruction Badge, goldClassCriteria, awarded for destruction of five tanks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: goldClassCriteria Context triple: [Tank Destruction Badge, goldClassCriteria, awarded for destruction of five tanks]
-
A.
goldComparedIn
Indicates that two or more entities are being compared with respect to their gold-related attributes, values, or quantities.
-
B.
standardGoldContent
Indicates the specified standard or required amount of gold contained in something, typically as a measure of purity or value.
-
C.
goldDescribedAs
Indicates that something is characterized or referred to using the term "gold" or a gold-related description.
-
D.
goldMedalist
Indicates that the subject is the winner of a first-place gold medal in a competition or event.
-
E.
goldfieldStatus
Indicates the current condition, classification, or operational state of a goldfield within the relevant context or system.
- 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.