Triple
T26069624
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | B&M International Bridge |
E657503
|
entity |
| Predicate | borderInspectionPresence |
P147678
|
FINISHED |
| Object | United States Customs and Border Protection |
—
|
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: United States Customs and Border Protection | Statement: [B&M International Bridge, borderInspectionPresence, United States Customs and Border Protection]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: borderInspectionPresence Context triple: [B&M International Bridge, borderInspectionPresence, United States Customs and Border Protection]
-
A.
borderStation
Indicates a facility or checkpoint located at or near a border where cross-boundary movement, control, or processing of people or goods occurs.
-
B.
borderControlSide
Indicates that one entity is positioned on or associated with a particular side or segment of a border control area or checkpoint.
-
C.
borderPostIs
Indicates that one entity functions as a border post associated with or located at another entity.
-
D.
borderControls
Indicates that one entity enforces or administers border control measures over another entity or at a specific boundary.
-
E.
borderAgencyPresent
chosen
Indicates that a border control or customs agency operates or is present at a given location or crossing point.
- 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_69ee5bbe539081909efc7f9dd7c1b53c |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69f6b49436b0819094e21603054d05d4 |
completed | May 3, 2026, 2:36 a.m. |
| PD | Predicate disambiguation | batch_69f6b3a5fd8481909433e923c5e24e55 |
completed | May 3, 2026, 2:32 a.m. |
Created at: April 26, 2026, 7:27 p.m.