Triple
T19448568
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marine Corps Good Conduct Medal |
E486549
|
entity |
| Predicate | claspsAndDevices |
P16983
|
FINISHED |
| Object | service stars for subsequent awards |
—
|
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: service stars for subsequent awards | Statement: [Marine Corps Good Conduct Medal, claspsAndDevices, service stars for subsequent awards]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: claspsAndDevices Context triple: [Marine Corps Good Conduct Medal, claspsAndDevices, service stars for subsequent awards]
-
A.
hasClasps
chosen
Indicates that one entity is equipped with or features clasps that fasten, secure, or attach it to another entity or its parts.
-
B.
earrings
Indicates that one entity is wearing, adorned with, or characterized by earrings.
-
C.
braceletType
Indicates the specific kind or category of bracelet that an entity is associated with.
-
D.
typeOfJewellery
Indicates the specific kind or category of jewellery that an item belongs to.
-
E.
associatedMetal
Indicates a relationship where one entity is linked or connected to a particular metal, such as by composition, usage, origin, or symbolic association.
- 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_69d8e8d7ad488190a3373045029b0f3b |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6338be5a48190973d9ecae853900c |
completed | April 20, 2026, 2:09 p.m. |
| PD | Predicate disambiguation | batch_69e4fd6e806081909053f325ba01ab6b |
completed | April 19, 2026, 4:06 p.m. |
Created at: April 10, 2026, 1:38 p.m.