Triple
T19575071
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Museum District station |
E489832
|
entity |
| Predicate | hasAdjacentStation |
P231
|
FINISHED |
| Object | Wheeler station |
—
|
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: Wheeler station | Statement: [Museum District station, hasAdjacentStation, Wheeler station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wheeler station Context triple: [Museum District station, hasAdjacentStation, Wheeler station]
-
A.
Wheeler station
chosen
Wheeler station is a light rail stop in Houston, Texas, serving as an important transit point on METRORail’s Red Line.
-
B.
Rockwell station
Rockwell station is an elevated Chicago 'L' rapid transit stop in the Lincoln Square neighborhood, serving passengers on the Brown Line.
-
C.
Hewlett station
Hewlett station is a Long Island Rail Road commuter rail stop serving the Hewlett community in Nassau County, New York.
-
D.
Hatcher station
Hatcher station is a light rail stop on Dallas Area Rapid Transit’s Green Line serving the surrounding Dallas, Texas community.
-
E.
Kimball station
Kimball station is an elevated Chicago 'L' train station in the Albany Park neighborhood that serves as the northern endpoint of the Brown Line.
- 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_69d8e8dd9374819098e36349b3211663 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e64023fe148190900c6887896c8ea0 |
completed | April 20, 2026, 3:03 p.m. |
Created at: April 10, 2026, 1:42 p.m.