Triple
T10590864
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hotchkiss gun |
E249982
|
entity |
| Predicate | effectAtWoundedKnee |
P92598
|
FINISHED |
| Object | caused large numbers of fatalities and injuries |
—
|
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: caused large numbers of fatalities and injuries | Statement: [Hotchkiss gun, effectAtWoundedKnee, caused large numbers of fatalities and injuries]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: effectAtWoundedKnee Context triple: [Hotchkiss gun, effectAtWoundedKnee, caused large numbers of fatalities and injuries]
-
A.
effectOnConfederacy
Indicates the impact or influence that something has on the Confederate side or the Confederacy as a whole.
-
B.
impactOnTribes
chosen
Indicates the effect or consequences that something has on tribes, such as changes to their conditions, rights, or well-being.
-
C.
battleLedTo
Indicates that one battle resulted in, caused, or directly brought about another event, state, or outcome.
-
D.
resultOfPequotWar
Indicates that the subject entity is an outcome, consequence, or product that occurred as a result of the Pequot War.
-
E.
hasCivilWarAssociation
Indicates a relationship in which an entity is connected or related to a civil war, such as through involvement, impact, or relevance.
- 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_69d381c9d3d48190a29ee491e1696a0e |
completed | April 6, 2026, 9:50 a.m. |
| NER | Named-entity recognition | batch_69d5277b66448190b668c47fe6af4f3d |
completed | April 7, 2026, 3:49 p.m. |
| PD | Predicate disambiguation | batch_69d51907b2b881908ab9a8594688ee06 |
completed | April 7, 2026, 2:47 p.m. |
Created at: April 6, 2026, 12:40 p.m.