Triple
T7852036
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Navy and Marine Corps Commendation Medal |
E182078
|
entity |
| Predicate | medalHierarchyLevel |
P79366
|
FINISHED |
| Object | mid-level decoration |
—
|
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: mid-level decoration | Statement: [Navy and Marine Corps Commendation Medal, medalHierarchyLevel, mid-level decoration]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: medalHierarchyLevel Context triple: [Navy and Marine Corps Commendation Medal, medalHierarchyLevel, mid-level decoration]
-
A.
medalIn
Indicates that an entity has received a medal or award in a particular event, field, or competition.
-
B.
medalType
Indicates the specific category or class of a medal associated with an award or achievement.
-
C.
medalFor
Indicates that a medal is awarded to an entity in recognition of a specific achievement, action, or service.
-
D.
honorLevel
Indicates the degree or status of respect, distinction, or recognition accorded to an entity relative to others.
-
E.
campaignMedalPrecedence
Indicates the ordered ranking of campaign medals relative to one another in terms of official precedence.
- 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_69ca82869ee08190b8f9040dbc2c0467 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb18ec48548190960bd564a60effa8 |
completed | March 31, 2026, 12:44 a.m. |
| PD | Predicate disambiguation | batch_69cae92180f88190ae3d44c3de7adc93 |
completed | March 30, 2026, 9:20 p.m. |
| PDg | Predicate description generation | batch_69caf786ec748190b6347b0c94335550 |
completed | March 30, 2026, 10:21 p.m. |
Created at: March 30, 2026, 4:51 p.m.