Triple
T2994303
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SunRail |
E81029
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Poinciana station |
E317552
|
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: Poinciana station | Statement: [SunRail, hasStation, Poinciana station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Poinciana station Context triple: [SunRail, hasStation, Poinciana station]
-
A.
Poinciana station
chosen
Poinciana station is a commuter rail station in Poinciana, Florida, serving as the southern end of Orlando’s SunRail system.
-
B.
Longwood station
Longwood station is a light rail stop on Boston's MBTA Green Line that serves the Longwood Medical and Academic Area.
-
C.
Longwood station
Longwood station is a commuter rail stop in Longwood, Florida, serving passengers on the Orlando-area SunRail system.
-
D.
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.
-
E.
Savannah station
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.
- 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_69ad8b187fc8819085914d3c9ea3142d |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad99e291e0819089f81c0a7d7a6cd9 |
completed | March 8, 2026, 3:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1eee1433c8190bdee291c12feeceb |
completed | March 11, 2026, 10:38 p.m. |
Created at: March 8, 2026, 2:59 p.m.