Triple
T17233036
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South End, Charlotte |
E418291
|
entity |
| Predicate | hasTransitStation |
P726
|
FINISHED |
| Object | New Bern Station |
E418295
|
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: New Bern Station | Statement: [South End, Charlotte, hasTransitStation, New Bern Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: New Bern Station Context triple: [South End, Charlotte, hasTransitStation, New Bern Station]
-
A.
New Bern station
chosen
New Bern station is a light rail stop in Charlotte, North Carolina, serving passengers on the city’s LYNX Blue Line.
-
B.
Greensboro Station
Greensboro Station is a Washington Metro Silver Line station serving the Tysons area of Fairfax County, Virginia.
-
C.
Wilmington station
Wilmington station is a commuter rail stop in Wilmington, Massachusetts, serving as part of the Greater Boston public transportation network.
-
D.
Wilmington station
Wilmington station is a historic Amtrak and SEPTA commuter rail hub in Wilmington, Delaware, serving as a major stop along the Northeast Corridor.
-
E.
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.
- 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_6a016760873c8190bab70ad4ca0c6d8e |
completed | May 11, 2026, 5:21 a.m. |
Created at: April 10, 2026, 5:39 a.m.