Triple
T29877363
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Poison Spring |
E758774
|
entity |
| Predicate | UnionCasualtiesMissing |
P84322
|
FINISHED |
| Object | over 100 missing or captured |
—
|
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: over 100 missing or captured | Statement: [Battle of Poison Spring, UnionCasualtiesMissing, over 100 missing or captured]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: UnionCasualtiesMissing Context triple: [Battle of Poison Spring, UnionCasualtiesMissing, over 100 missing or captured]
-
A.
casualtiesMissing
chosen
Indicates that certain individuals involved in an incident are unaccounted for, with their status or whereabouts unknown.
-
B.
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.
-
C.
casualtiesUnion
Indicates a relationship where multiple casualty figures or reports are combined into a single aggregated total.
-
D.
UnionCasualtiesKilledAndWounded
Indicates the number of Union forces who were either killed or wounded as a result of a specific military engagement or event.
-
E.
nativeCasualties
Indicates that native or indigenous people suffered deaths or injuries as a result of a particular event, action, or conflict.
- 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_69f2245d0d7081909e37ee328542bcd7 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f676caee048190952d49763046a768 |
completed | May 2, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69f673c4abec8190bc2379e66f4af0a9 |
completed | May 2, 2026, 9:59 p.m. |
Created at: April 29, 2026, 5:56 p.m.