Triple
T21335029
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orange Line (CTA) |
E526018
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Clark/Lake 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: Clark/Lake station | Statement: [Orange Line (CTA), hasStation, Clark/Lake station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Clark/Lake station Context triple: [Orange Line (CTA), hasStation, Clark/Lake station]
-
A.
Clark/Lake station
chosen
Clark/Lake station is a major Chicago 'L' transit hub in the Loop where multiple CTA lines intersect, providing extensive connections across the city.
-
B.
Lincoln Station
Lincoln Station is a light rail transit stop serving the city of Lone Tree in the southern Denver metropolitan area of Colorado.
-
C.
Silver Lake station
Silver Lake station is a stop on New Jersey's Newark Light Rail system serving the surrounding residential neighborhood.
-
D.
Wheaton station
Wheaton station is a Washington Metro rapid transit station in Wheaton, Maryland, known for having one of the system’s deepest escalators.
-
E.
Lincoln station
Lincoln station is a commuter rail stop in Lincoln, Massachusetts, serving passengers on the MBTA's Fitchburg 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_69e0b51b90788190a4dd823d962626da |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e898d602c08190821c63e0aff42fc2 |
completed | April 22, 2026, 9:45 a.m. |
Created at: April 16, 2026, 4:43 p.m.