Triple
T26499024
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buford’s Massacre |
E669364
|
entity |
| Predicate | AmericanCasualtiesCaptured |
P77886
|
FINISHED |
| Object | over 50 |
—
|
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 50 | Statement: [Buford’s Massacre, AmericanCasualtiesCaptured, over 50]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: AmericanCasualtiesCaptured Context triple: [Buford’s Massacre, AmericanCasualtiesCaptured, over 50]
-
A.
casualtiesAmericanCapturedApprox
chosen
Indicates that the approximate number of American individuals who were captured in an event or conflict is being specified.
-
B.
UScasualties
Indicates the number or occurrence of casualties suffered by the United States in a given conflict, event, or situation.
-
C.
casualtiesUnitedStates
Indicates that the event or situation resulted in casualties (deaths and/or injuries) among United States personnel or citizens.
-
D.
confederatePrisonersTaken
Indicates that one party has captured and taken prisoners who are affiliated with or fighting for the Confederate side.
-
E.
casualtiesKilledUS
Indicates that the relationship specifies the number of U.S. individuals who were killed as casualties in an event or incident.
- 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_69eeb319007081909642b414b114b35a |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69f61f12b0f08190bc4a16907941864c |
completed | May 2, 2026, 3:58 p.m. |
| PD | Predicate disambiguation | batch_69f61b3a8ae0819090189fbd8eb19f2f |
completed | May 2, 2026, 3:41 p.m. |
Created at: April 27, 2026, 1:11 a.m.