Triple
T28732064
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fairfield plantation office building at Guinea Station |
E730685
|
entity |
| Predicate | causeOfAssociatedDeath |
P144
|
FINISHED |
| Object | complications from wounds received at the Battle of Chancellorsville |
—
|
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: complications from wounds received at the Battle of Chancellorsville | Statement: [Fairfield plantation office building at Guinea Station, causeOfAssociatedDeath, complications from wounds received at the Battle of Chancellorsville]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: causeOfAssociatedDeath Context triple: [Fairfield plantation office building at Guinea Station, causeOfAssociatedDeath, complications from wounds received at the Battle of Chancellorsville]
-
A.
causeOfDeath
chosen
Indicates the specific factor, event, or condition that directly resulted in an entity’s death.
-
B.
reasonForDeath
Indicates the cause, circumstance, or condition that led to an entity’s death.
-
C.
associatedWithDeathOf
Indicates a relationship where one entity is connected in some relevant way to the death of another entity, such as by involvement, causation, or contextual association.
-
D.
indirectFatalitiesCause
Indicates a causal relationship where an entity is responsible for deaths that occur indirectly, as a secondary or downstream consequence rather than as the immediate cause.
-
E.
deathContributedTo
Indicates that one entity played a causal or contributing role in bringing about the death of another entity.
- 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_69f043eae0908190b28ce314686247d7 |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69f6fb19063c81909466b329655c8583 |
completed | May 3, 2026, 7:36 a.m. |
| PD | Predicate disambiguation | batch_69f6f969b4cc8190afb473a2d8b110bc |
completed | May 3, 2026, 7:29 a.m. |
Created at: April 28, 2026, 5:58 a.m.