Triple
T1689057
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yuma, Arizona |
E36508
|
entity |
| Predicate | distanceToBorder |
P31353
|
FINISHED |
| Object | near the U.S.–Mexico border at San Luis Río Colorado |
—
|
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: near the U.S.–Mexico border at San Luis Río Colorado | Statement: [Yuma, Arizona, distanceToBorder, near the U.S.–Mexico border at San Luis Río Colorado]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToBorder Context triple: [Yuma, Arizona, distanceToBorder, near the U.S.–Mexico border at San Luis Río Colorado]
-
A.
distanceToRussianBorder_km
Indicates the physical distance, measured in kilometers, between a given location and the nearest point on the Russian border.
-
B.
distanceToPennsylvaniaBorder
Indicates the measured distance between a given location and the border of Pennsylvania.
-
C.
distanceFromTerminus
Indicates the measured distance of an entity from a defined endpoint or terminus along a route, path, or sequence.
-
D.
countryBorderProximity
Indicates that one country is geographically close to or directly bordering another country.
-
E.
distanceToBangladeshBorder_km
Indicates the distance, measured in kilometers, from a given location to the nearest point on the border of Bangladesh.
- F. None of above. chosen
Provenance (4 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_69a886151508819084fa7f1ce6e05577 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aaf3359ce48190803b322db8ad6027 |
completed | March 6, 2026, 3:31 p.m. |
| PD | Predicate disambiguation | batch_69aa61b71cec8190b273588051058ebd |
completed | March 6, 2026, 5:10 a.m. |
| PDg | Predicate description generation | batch_69aaf33347e48190a32b6d0099e3d389 |
completed | March 6, 2026, 3:30 p.m. |
Created at: March 4, 2026, 7:29 p.m.