Triple
T12879447
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Palmetto route |
E308051
|
entity |
| Predicate | endStation |
P3569
|
FINISHED |
| Object | Savannah station |
E252018
|
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: Savannah station | Statement: [Palmetto route, endStation, Savannah station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Savannah station Context triple: [Palmetto route, endStation, Savannah station]
-
A.
Savannah station
chosen
Savannah station is a passenger rail station in Savannah, Georgia, serving as a key stop and terminus for Amtrak services in the southeastern United States.
-
B.
Forsyth station
Forsyth station is a St. Louis MetroLink light rail stop on the Blue Line serving the Clayton business district and nearby Washington University area.
-
C.
Sanford station
Sanford station is the Florida terminus of Amtrak’s Auto Train service, where passengers and their vehicles embark and disembark for the rail journey to and from Virginia.
-
D.
Charleston station
Charleston station is an Amtrak passenger rail station in Charleston, South Carolina, serving long-distance routes along the U.S. East Coast.
-
E.
Greenwood station
Greenwood station is a subway station on Line 2 Bloor–Danforth of the Toronto Transit Commission in Toronto, Ontario, Canada.
- 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_69d7bdf69bc48190af6c2621f28ca351 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d970fc1e488190a0c48039f6213e62 |
completed | April 10, 2026, 9:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f69bba33c081909c0050ff7b868a8e |
completed | May 3, 2026, 12:50 a.m. |
Created at: April 9, 2026, 5:39 p.m.