Triple
T17233035
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South End, Charlotte |
E418291
|
entity |
| Predicate | hasTransitStation |
P726
|
FINISHED |
| Object | Carson Station |
E419788
|
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: Carson Station | Statement: [South End, Charlotte, hasTransitStation, Carson Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carson Station Context triple: [South End, Charlotte, hasTransitStation, Carson Station]
-
A.
Carson station
chosen
Carson station is a light rail stop on Charlotte’s LYNX Blue Line serving the South End area near Uptown Charlotte, North Carolina.
-
B.
Arrowood station
Arrowood station is a light rail stop on Charlotte's LYNX Blue Line serving the Arrowood Road area in Charlotte, North Carolina.
-
C.
Bayside Station
Bayside Station is a monorail stop on Tokyo Disney Resort’s Disney Resort Line serving nearby hotels and resort facilities.
-
D.
Connolly Station
Connolly Station is one of Dublin’s main railway and commuter transport hubs, serving national rail, DART, and Luas services on the city’s north side.
-
E.
Meadowview Station
Meadowview Station is a light rail transit station in Sacramento, California, serving as part of the Sacramento Regional Transit District’s network.
- 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_69d886d8e96081909870bff6c3d0bf09 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42df9558481909e2e50ae0b02acf7 |
completed | April 19, 2026, 1:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01793efa288190b63f641381566bb9 |
completed | May 11, 2026, 6:37 a.m. |
Created at: April 10, 2026, 5:39 a.m.