Triple
T27605214
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Forest College |
E700160
|
entity |
| Predicate | approximateDistanceToChicago |
P24381
|
FINISHED |
| Object | about 30 miles north of downtown Chicago |
—
|
LITERAL 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: about 30 miles north of downtown Chicago | Statement: [Lake Forest College, approximateDistanceToChicago, about 30 miles north of downtown Chicago]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approximateDistanceToChicago Context triple: [Lake Forest College, approximateDistanceToChicago, about 30 miles north of downtown Chicago]
-
A.
distanceToChicagoLoop
Indicates the spatial distance between a given location and Chicago’s central business district (the Loop).
-
B.
distanceFromChicagoUnionStation
Indicates the measured distance between a given location and Chicago Union Station.
-
C.
distanceFromChicagoLoop
chosen
Indicates the spatial distance between an entity’s location and the Chicago Loop area.
-
D.
distanceFromChicagoTerminus
Indicates the measured distance of an entity from the Chicago terminus point along a specified route or network.
-
E.
distanceToChampaignApproxMiles
Indicates the approximate distance, measured in miles, from a given location to Champaign.
- F. None of above.
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_69ef6a4e2e208190b63b7268f405785c |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69fbbc49da8c8190902bbb05d2477cab |
completed | May 6, 2026, 10:10 p.m. |
| PD | Predicate disambiguation | batch_69fbb13f34b08190bbbb220ac1e6e666 |
completed | May 6, 2026, 9:23 p.m. |
Created at: April 27, 2026, 2:09 p.m.