Triple
T36625292
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stewart Crossing |
E904152
|
entity |
| Predicate | distanceToMayo_km |
—
|
GENERATED |
| Object | approx. 53 |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToMayo_km Context triple: [Stewart Crossing, distanceToMayo_km, approx. 53]
-
A.
distanceToMoshi
Indicates the spatial distance between a given entity and the location Moshi.
-
B.
distanceFromHanaTown (miles)
Indicates the number of miles separating a given place or entity from Hana Town.
-
C.
distanceFromMahon
Indicates the spatial distance measured from the reference point or location named Mahon to another entity.
-
D.
distanceToMBBAirport_km
Indicates the distance, measured in kilometers, from a given location to the MBB airport.
-
E.
distanceFromHo
Indicates the spatial distance measured from a specified reference point or origin labeled "Ho" to another entity.
- F. None of above. chosen
Provenance (1 batch)
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_69f76e6ae750819096911e6e2d4d12c5 |
completed | May 3, 2026, 3:48 p.m. |
Created at: May 3, 2026, 4:11 p.m.