Triple
T25902346
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laredo Port of Entry |
E652650
|
entity |
| Predicate | primaryUseOfJuarezLincolnBridge |
P192625
|
FINISHED |
| Object | passenger vehicles |
—
|
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: passenger vehicles | Statement: [Laredo Port of Entry, primaryUseOfJuarezLincolnBridge, passenger vehicles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryUseOfJuarezLincolnBridge Context triple: [Laredo Port of Entry, primaryUseOfJuarezLincolnBridge, passenger vehicles]
-
A.
primaryUseOfWorldTradeBridge
Indicates that a specified activity or function is the main or predominant use of the World Trade Bridge.
-
B.
westernTerminusBridge
Indicates that a bridge serves as the western terminus or endpoint of a route, line, or infrastructure segment.
-
C.
isMainRoadBridgeOf
Indicates that a bridge serves as the primary or main road crossing associated with a particular road segment or route.
-
D.
hasBridgeCrossings
Indicates that one entity has one or more bridge structures that span across or connect over another entity (such as a road, river, or area).
-
E.
hasNumberOfMainBridges
Indicates the quantity of primary or main bridges associated with a given entity.
- 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_69e7ab3d3f8481909bc53ed64c06af33 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69fd231cab588190ad0953dc8f4af8f2 |
completed | May 7, 2026, 11:41 p.m. |
| PD | Predicate disambiguation | batch_69fd1aa3f1c481909fe6e9cab1383551 |
completed | May 7, 2026, 11:05 p.m. |
| PDg | Predicate description generation | batch_69fd231bdd108190900369e07c854e95 |
completed | May 7, 2026, 11:41 p.m. |
Created at: April 22, 2026, 8:26 a.m.