Triple
T18028502
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Wauhatchie |
E431323
|
entity |
| Predicate | supplyRoute |
P2855
|
FINISHED |
| Object | Cracker Line |
—
|
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: Cracker Line | Statement: [Battle of Wauhatchie, supplyRoute, Cracker Line]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cracker Line Context triple: [Battle of Wauhatchie, supplyRoute, Cracker Line]
-
A.
Cracker Line
chosen
The Cracker Line was a vital Union supply route established during the American Civil War to relieve the besieged Army of the Cumberland at Chattanooga.
-
B.
Cracker Mallo
Cracker Mallo is a music track produced by Celia.
-
C.
A Line
The A Line is a light rail service in the Los Angeles Metro Rail system that runs between Azusa and Long Beach, serving key destinations across Los Angeles County.
-
D.
A Line
A Line is a commuter rail service in the Denver metropolitan area that connects downtown Denver with Denver International Airport.
-
E.
Cracker
Cracker is a British crime drama television series centered on a brilliant but troubled criminal psychologist who helps the police solve complex cases.
- 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_69d8b9050fb48190890155145deb0a66 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4be332a7081909124abdd98430a8a |
completed | April 19, 2026, 11:36 a.m. |
Created at: April 10, 2026, 10:25 a.m.