Triple
T53375
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oath of Enlistment of the United States Armed Forces |
E1050
|
entity |
| Predicate | ceremonyType |
P3305
|
FINISHED |
| Object | enlistment ceremony |
—
|
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: enlistment ceremony | Statement: [Oath of Enlistment of the United States Armed Forces, ceremonyType, enlistment ceremony]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ceremonyType Context triple: [Oath of Enlistment of the United States Armed Forces, ceremonyType, enlistment ceremony]
-
A.
ceremonyLocation
Indicates the place where a ceremony is held or takes place.
-
B.
prizeType
Indicates the specific category or kind of prize associated with an entity or event.
-
C.
awardType
Indicates the specific category or kind of award associated with an entity or event.
-
D.
crownedWith
Indicates that one entity serves as a crown, top, or decorative upper covering placed upon another entity.
-
E.
formOfRecognition
Indicates a relationship where one entity serves as an official acknowledgment, honor, or validation granted to another entity.
- 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_69a248adc5b48190aa8db9fb092fb28a |
completed | Feb. 28, 2026, 1:45 a.m. |
| NER | Named-entity recognition | batch_69a24c709c248190bcd442c8d508e48c |
completed | Feb. 28, 2026, 2:01 a.m. |
| PD | Predicate disambiguation | batch_69a24ac3c8dc819099849023bdaa35a9 |
completed | Feb. 28, 2026, 1:54 a.m. |
| PDg | Predicate description generation | batch_69a24c6ff0588190b0fd864da9aa8569 |
completed | Feb. 28, 2026, 2:01 a.m. |
Created at: Feb. 28, 2026, 1:50 a.m.