Triple
T36747174
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rosalie Mansion |
E907797
|
entity |
| Predicate | CivilWarRole |
P82029
|
FINISHED |
| Object | headquarters of Union occupation forces in Natchez |
—
|
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: headquarters of Union occupation forces in Natchez | Statement: [Rosalie Mansion, CivilWarRole, headquarters of Union occupation forces in Natchez]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: CivilWarRole Context triple: [Rosalie Mansion, CivilWarRole, headquarters of Union occupation forces in Natchez]
-
A.
civilWarTheater
Indicates a geographic or operational area where events of a civil war take place or are focused.
-
B.
roleAtBattleOfChancellorsville
Indicates the specific role, position, or function an entity held during the Battle of Chancellorsville.
-
C.
opponentInAmericanCivilWar
Indicates that two entities were on opposing sides in the American Civil War.
-
D.
positionWithinConfederacy
Indicates that one entity holds a specific role, rank, or status within a confederated group or alliance of entities.
-
E.
hasCivilWarAssociation
chosen
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_69f76e76d10881909ec1679bc043108c |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f7c9f5a8848190ba956ff27f44e396 |
completed | May 3, 2026, 10:19 p.m. |
| PD | Predicate disambiguation | batch_69f7c8999a348190abc1895eaa6e036d |
completed | May 3, 2026, 10:13 p.m. |
Created at: May 3, 2026, 4:12 p.m.