Triple
T17743334
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yong-hwa Jung |
E442918
|
entity |
| Predicate | militaryEnlistmentDate |
P93707
|
FINISHED |
| Object | 2018-03-05 |
—
|
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: 2018-03-05 | Statement: [Yong-hwa Jung, militaryEnlistmentDate, 2018-03-05]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: militaryEnlistmentDate Context triple: [Yong-hwa Jung, militaryEnlistmentDate, 2018-03-05]
-
A.
enlistmentYear
chosen
Indicates the year in which an entity formally joined or was enrolled into a service, organization, or group.
-
B.
ageAtEnlistment
Indicates the age a person was when they enlisted in a service, organization, or role.
-
C.
militaryServicePeriod
Indicates the span of time during which an entity serves or has served in a military capacity.
-
D.
musteredIntoService
Indicates that an entity has been formally enrolled or assembled into active duty or official service under an authority.
-
E.
militaryRankDate
Indicates the date on which an entity attained, held, or was recorded with a particular military rank.
- 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_69d8b9ed3a2081909b2ec0d4dd2f4c37 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e47acf44f8819089a18193e37d112c |
completed | April 19, 2026, 6:48 a.m. |
| PD | Predicate disambiguation | batch_69e3cde815e08190881972e2d80d151e |
completed | April 18, 2026, 6:31 p.m. |
Created at: April 10, 2026, 10:09 a.m.