Triple
T20571030
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Bussaco |
E505096
|
entity |
| Predicate | casualtiesAngloPortuguese |
P39453
|
FINISHED |
| Object | approximately 1,200 to 1,300 killed, wounded, or missing |
—
|
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: approximately 1,200 to 1,300 killed, wounded, or missing | Statement: [Battle of Bussaco, casualtiesAngloPortuguese, approximately 1,200 to 1,300 killed, wounded, or missing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: casualtiesAngloPortuguese Context triple: [Battle of Bussaco, casualtiesAngloPortuguese, approximately 1,200 to 1,300 killed, wounded, or missing]
-
A.
casualtiesUnion
Indicates a relationship where multiple casualty figures or reports are combined into a single aggregated total.
-
B.
casualtiesImperialSpanish
Indicates that the subject incurred casualties belonging to, or associated with, the Imperial Spanish forces.
-
C.
englishCasualtiesKilledAndWounded
Indicates the number of English individuals who were either killed or wounded as a result of a particular event or conflict.
-
D.
casualties_British_side
chosen
Indicates the number or extent of casualties suffered by the British side in a conflict or incident.
-
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_69e0b4b721588190993ac7b0a9be2736 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a7a5b0688190b45d0fa993c4765c |
completed | April 20, 2026, 10:24 p.m. |
| PD | Predicate disambiguation | batch_69e59ff0116c8190a163ff28ed01430a |
completed | April 20, 2026, 3:39 a.m. |
Created at: April 16, 2026, 11:39 a.m.