Triple
T35314199
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Camp Jackson Massacre |
E1019856
|
entity |
| Predicate | sideSupportedByMilitia |
P72129
|
FINISHED |
| Object | Confederate States of America |
—
|
NE NERFINISHED |
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: Confederate States of America | Statement: [Camp Jackson Massacre, sideSupportedByMilitia, Confederate States of America]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sideSupportedByMilitia Context triple: [Camp Jackson Massacre, sideSupportedByMilitia, Confederate States of America]
-
A.
typeOfMilitia
Indicates the specific kind or category of militia to which an entity belongs or is classified.
-
B.
memberSupportedSideInCivilWar
Indicates that a member or group actively backed, aligned with, or provided support to a particular side or faction in a civil war.
-
C.
belligerentSupport
chosen
Indicates support given to a party engaged in conflict or hostilities, often implying backing one side in a belligerent or warlike context.
-
D.
hadMilitia
Indicates that an entity maintained or was associated with a militia force during a certain period.
-
E.
insurgentSupporter
Indicates that one entity supports, assists, or aligns with an insurgent group or insurgent activities.
- 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_69f76de9d45c81908a2ed0956b448b65 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f79090c29c81909172903f1c5d82c8 |
completed | May 3, 2026, 6:14 p.m. |
| PD | Predicate disambiguation | batch_69f78e2f52e08190a77661223a96c601 |
completed | May 3, 2026, 6:04 p.m. |
Created at: May 3, 2026, 4:03 p.m.