Triple
T10619946
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Concordia College (Moorhead) |
E250169
|
entity |
| Predicate | distanceToNearbyCity |
P78268
|
FINISHED |
| Object | across the river from Fargo, North Dakota |
—
|
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: across the river from Fargo, North Dakota | Statement: [Concordia College (Moorhead), distanceToNearbyCity, across the river from Fargo, North Dakota]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToNearbyCity Context triple: [Concordia College (Moorhead), distanceToNearbyCity, across the river from Fargo, North Dakota]
-
A.
distanceFromMajorCity
Indicates the measured distance between a given location and a specified major city.
-
B.
distanceBetweenHomeCities
Indicates the measured spatial distance separating the home cities of two entities.
-
C.
nearestCityCenterDistance
chosen
Indicates the distance from a given location to the closest city center.
-
D.
approximateDistanceKm
Indicates the estimated distance between two entities measured in kilometers, typically with some degree of inaccuracy or approximation.
-
E.
distanceToAirport
Indicates the measured distance between a given location and the nearest or specified airport.
- 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_69d6aa5993448190a493b790b8f85010 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6df6fc47c8190b77b61a7fd223d65 |
completed | April 8, 2026, 11:06 p.m. |
| PD | Predicate disambiguation | batch_69d6dd7a223c8190854409d76368f3e8 |
completed | April 8, 2026, 10:58 p.m. |
Created at: April 8, 2026, 8:42 p.m.