Triple
T21799048
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Classics |
E538183
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Gettysburg |
—
|
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: Gettysburg | Statement: [Classics, hasPart, Gettysburg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gettysburg Context triple: [Classics, hasPart, Gettysburg]
-
A.
Gettysburg
chosen
Gettysburg is a historic Pennsylvania town best known as the site of the pivotal 1863 Civil War battle and Abraham Lincoln’s Gettysburg Address.
-
B.
Battle of Gettysburg
The Battle of Gettysburg was a pivotal three-day Civil War clash in 1863 that marked a turning point in favor of the Union and became one of the conflict’s bloodiest and most famous engagements.
-
C.
Chancellorsville and Gettysburg
"Chancellorsville and Gettysburg" is a historical account of two major American Civil War battles written by Union general Abner Doubleday.
-
D.
Sharpsburg
Sharpsburg is a small town in North Carolina known for its residential character and location within the Rocky Mount metropolitan area.
-
E.
Sharpsburg
Sharpsburg is a small town in Coweta County, Georgia, known for its quiet residential character within the Atlanta metropolitan area.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c4733f4081909a86622e7e6d15d2 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f077fd59048190ae4e50f4aee919e7 |
completed | April 28, 2026, 9:03 a.m. |
Created at: April 16, 2026, 6:53 p.m.