Triple
T9158644
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Natchez |
E219766
|
entity |
| Predicate | revoltAgainst |
P4698
|
FINISHED |
| Object | French at Fort Rosalie in 1729 |
—
|
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: French at Fort Rosalie in 1729 | Statement: [Natchez, revoltAgainst, French at Fort Rosalie in 1729]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: revoltAgainst Context triple: [Natchez, revoltAgainst, French at Fort Rosalie in 1729]
-
A.
repressedDissent
Indicates that one party has actively suppressed or stifled opposition, criticism, or disagreement from another party or group.
-
B.
uprising
chosen
Indicates a collective act of resistance or rebellion by a group against an established authority or ruling power.
-
C.
facedRebellionBy
Indicates that an entity experienced opposition or an uprising initiated by another entity.
-
D.
opposedWar
Indicates that an entity actively resisted, disagreed with, or worked against a particular war or military conflict.
-
E.
protests
Indicates that an entity publicly expresses opposition or disapproval toward another entity, action, or situation.
- 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_69ca83e25418819093c6503deeaf30de |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca9d805588190a0deadda1dd410a1 |
completed | April 1, 2026, 5:15 a.m. |
| PD | Predicate disambiguation | batch_69cc6605c6808190a30d92da006206ac |
completed | April 1, 2026, 12:25 a.m. |
Created at: March 30, 2026, 7:21 p.m.