Triple
T24798568
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nogales border crossing |
E620456
|
entity |
| Predicate | borderSecurityAgency |
P147678
|
FINISHED |
| Object | U.S. Border Patrol |
—
|
NE NERFINISHED |
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: U.S. Border Patrol | Statement: [Nogales border crossing, borderSecurityAgency, U.S. Border Patrol]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: borderSecurityAgency Context triple: [Nogales border crossing, borderSecurityAgency, U.S. Border Patrol]
-
A.
borderFacilityFunction
Indicates the functional role or purpose that a particular facility serves in the context of a border or border-crossing operation.
-
B.
borderAgencyPresent
chosen
Indicates that a border control or customs agency operates or is present at a given location or crossing point.
-
C.
borderStation
Indicates a facility or checkpoint located at or near a border where cross-boundary movement, control, or processing of people or goods occurs.
-
D.
borderAgencyUnitedStates
Indicates that the agency operates as or is part of the border control or border security authority of the United States.
-
E.
borderControlSide
Indicates that one entity is positioned on or associated with a particular side or segment of a border control area or checkpoint.
- 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_69e2fabe77c8819085f7ce6486248139 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f412a7d950819099f1a7298c138d30 |
completed | May 1, 2026, 2:40 a.m. |
| PD | Predicate disambiguation | batch_69f40ef612c88190ab2f3f08d4a92018 |
completed | May 1, 2026, 2:24 a.m. |
Created at: April 18, 2026, 4:49 a.m.