Triple
T22398846
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Daecheong |
E553704
|
entity |
| Predicate | casualtiesNorthKorea |
P1399
|
FINISHED |
| Object | killed and wounded (exact number disputed) |
—
|
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: killed and wounded (exact number disputed) | Statement: [Battle of Daecheong, casualtiesNorthKorea, killed and wounded (exact number disputed)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: casualtiesNorthKorea Context triple: [Battle of Daecheong, casualtiesNorthKorea, killed and wounded (exact number disputed)]
-
A.
nativeCasualties
Indicates that native or indigenous people suffered deaths or injuries as a result of a particular event, action, or conflict.
-
B.
estimatedNorthVietnameseCasualties
Indicates the reported or calculated number of casualties attributed to North Vietnamese forces in a given context or event.
-
C.
casualties
chosen
Indicates that an event, action, or situation resulted in people being killed or injured.
-
D.
governmentCasualties
Indicates that members of a government (such as officials, employees, or security forces) were killed, injured, or otherwise became casualties in an event or conflict.
-
E.
primaryCasualtiesFrom
Indicates that an entity is the main source or cause of the casualties experienced by another entity.
- 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_69e11e4da7048190b4387d422a9a0de5 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15861ac248190a967f534feea0265 |
completed | April 29, 2026, 1:01 a.m. |
| PD | Predicate disambiguation | batch_69e73015484c8190a9a0b9f554b61a81 |
completed | April 21, 2026, 8:06 a.m. |
Created at: April 16, 2026, 8:46 p.m.