Triple
T32183635
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Ackia |
E822047
|
entity |
| Predicate | impactOnChickasaw |
P92598
|
FINISHED |
| Object | reinforced Chickasaw military reputation |
—
|
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: reinforced Chickasaw military reputation | Statement: [Battle of Ackia, impactOnChickasaw, reinforced Chickasaw military reputation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: impactOnChickasaw Context triple: [Battle of Ackia, impactOnChickasaw, reinforced Chickasaw military reputation]
-
A.
impactOnTribes
chosen
Indicates the effect or consequences that something has on tribes, such as changes to their conditions, rights, or well-being.
-
B.
impactOnStates
Indicates the effect or influence that one entity, event, or condition has on the status, condition, or behavior of one or more states.
-
C.
impactOfColonization
Indicates the effects or consequences that colonization has on a particular entity, group, or context.
-
D.
impactOnColonies
Indicates the effect or influence that one factor, event, or condition has on colonies.
-
E.
inUniverseEffectOnNatives
Indicates the impact or consequences that something within a fictional or defined universe has on the native inhabitants of that universe.
- 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_69f3490755288190aee11740a34862f9 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f75dc25fa08190b371faf36d9fb72c |
completed | May 3, 2026, 2:37 p.m. |
| PD | Predicate disambiguation | batch_69f758586534819083e91172f4bf5098 |
completed | May 3, 2026, 2:14 p.m. |
Created at: May 1, 2026, 12:34 a.m.