Triple
T17673895
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | O'Hare–Forest Park corridor |
E440594
|
entity |
| Predicate | hasKeyStation |
P22144
|
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: [O'Hare–Forest Park corridor, hasKeyStation, Clark/Lake station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Clark/Lake station Context triple: [O'Hare–Forest Park corridor, hasKeyStation, 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 key railway station in the city of Lincoln, England, serving as a regional hub for passenger services across multiple routes.
- 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_69d8b9e87e18819087104a44dc4dc5b1 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e46f6ba22081909e2099490c047378 |
completed | April 19, 2026, 6 a.m. |
Created at: April 10, 2026, 10 a.m.