Triple
T34880946
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States military badges |
E1006007
|
entity |
| Predicate | denote |
P68246
|
FINISHED |
| Object | qualifications |
—
|
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: qualifications | Statement: [United States military badges, denote, qualifications]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: denote Context triple: [United States military badges, denote, qualifications]
-
A.
denominates
chosen
Indicates that one entity serves as the official name, designation, or label for another entity.
-
B.
denUse
Indicates that an entity uses or makes use of a particular den (or designated shelter/space) for its activities or habitation.
-
C.
designationFor
Indicates that one entity serves as the official title, label, or role name assigned to another entity.
-
D.
notation
Indicates a conventional way of symbolically representing or writing something, such as concepts, quantities, or operations, within a specific system.
-
E.
denType
Indicates the specific kind or category of den associated with an entity.
- 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_69f76dbedb288190afe5780710847410 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78710282c81909146dc0be91e983f |
completed | May 3, 2026, 5:34 p.m. |
| PD | Predicate disambiguation | batch_69f784162134819098413482ef52042f |
completed | May 3, 2026, 5:21 p.m. |
Created at: May 3, 2026, 4 p.m.