Triple
T13775803
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fredericksburg campaign |
E331002
|
entity |
| Predicate | belligerent |
P375
|
FINISHED |
| Object | Union |
E22849
|
NE 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: Union | Statement: [Fredericksburg campaign, belligerent, Union]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Union Context triple: [Fredericksburg campaign, belligerent, Union]
-
A.
Union
chosen
The Union was the federal government and Northern states of the United States that opposed the seceding Confederate states during the American Civil War.
-
B.
Union
Union is the commonly used short name for the Major League Soccer club Philadelphia Union.
-
C.
Union
Union is a town in Broome County, New York, that forms part of the Binghamton metropolitan area.
-
D.
Union
Union is a major transit hub in downtown Toronto that serves as the city's primary subway and railway station complex.
-
E.
Union
Union is a township in Union County, New Jersey, that serves as the home of Kean University and a suburban community near New York City.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d81c583b0081909e408a17db517a21 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0238bdbc8190a946e6e5431632a5 |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7a86afd788190ab637044dd489a24 |
completed | May 3, 2026, 7:56 p.m. |
Created at: April 9, 2026, 10:10 p.m.