Triple
T35255971
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mercedes, Buenos Aires |
E1018231
|
entity |
| Predicate | distanceFromBuenosAiresCity |
—
|
GENERATED |
| Object | approximately 100 km west |
—
|
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: distanceFromBuenosAiresCity Context triple: [Mercedes, Buenos Aires, distanceFromBuenosAiresCity, approximately 100 km west]
-
A.
distanceFromBuenosAires
chosen
Indicates the measured distance between a given entity’s location and the city of Buenos Aires.
-
B.
distanceToBahíaBlanca
Indicates the measured distance between a given entity and the location of Bahía Blanca.
-
C.
distanceToPuntaDelEste
Indicates the measured distance between a given entity’s location and the location of Punta del Este.
-
D.
distanceToNeuquénCity_km
Indicates the physical distance, measured in kilometers, between an entity and the city of Neuquén.
-
E.
distanceToNeuquénCity
Indicates the spatial distance between a given location and the city of Neuquén.
- F. None of above.
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_69f76de407d081909dfc3c419817ae93 |
completed | May 3, 2026, 3:46 p.m. |
Created at: May 3, 2026, 4:02 p.m.