Triple
T2092582
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coast Guard Unit Commendation |
E32702
|
entity |
| Predicate | wearOrder |
P18757
|
FINISHED |
| Object | below Coast Guard Presidential Unit Citation |
—
|
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: below Coast Guard Presidential Unit Citation | Statement: [Coast Guard Unit Commendation, wearOrder, below Coast Guard Presidential Unit Citation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wearOrder Context triple: [Coast Guard Unit Commendation, wearOrder, below Coast Guard Presidential Unit Citation]
-
A.
wearingOrder
chosen
Indicates the relative sequence in which items are worn on or over one another (e.g., which garment is worn over or under another).
-
B.
wearLocation
Indicates the typical body part or location on which an item is worn.
-
C.
wears
Indicates that one entity is dressed in, or has on its body, a particular item such as clothing or accessories.
-
D.
wearingClass
Indicates that one entity is wearing or dressed in an item belonging to a particular class or category of clothing or accessories.
-
E.
wearAuthorizedFor
Indicates that an entity is permitted or authorized to wear a specified item (such as clothing, equipment, or insignia).
- 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_69a885eba0708190999696a45cbec816 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69abba774ca881909f83cf65ffeb24bb |
completed | March 7, 2026, 5:41 a.m. |
| PD | Predicate disambiguation | batch_69abb7b6274081909df36cd7a7c6a675 |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:43 p.m.