Triple
T30434464
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Interstate 10 in Los Angeles County |
E774264
|
entity |
| Predicate | easternContinuationLeadsTo |
P169429
|
FINISHED |
| Object | San Bernardino County |
—
|
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: San Bernardino County | Statement: [Interstate 10 in Los Angeles County, easternContinuationLeadsTo, San Bernardino County]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: easternContinuationLeadsTo Context triple: [Interstate 10 in Los Angeles County, easternContinuationLeadsTo, San Bernardino County]
-
A.
easternTerminusLocatedOn
Indicates that the eastern endpoint of a route, line, or path is situated on or at a specified feature or location.
-
B.
northernContinuationOf
Indicates that one entity is a direct geographic or structural continuation of another entity toward the north.
-
C.
easternConnection
Indicates a relationship where one entity is connected to, aligned with, or positioned toward the east of another entity.
-
D.
easternTerminusNearby
Indicates that the eastern endpoint of one entity is located close to the referenced entity.
-
E.
easternBaseOf
Indicates that one entity is located at or forms the eastern base or foot of another 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_69f22492d2a88190995ce8745d9becaa |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f68693d1b481909053505550c07c9d |
completed | May 2, 2026, 11:19 p.m. |
| PD | Predicate disambiguation | batch_69f678d2196c8190b9d0d2fcd47cc539 |
completed | May 2, 2026, 10:21 p.m. |
| PDg | Predicate description generation | batch_69f67d31cc60819084f64bd056e1ea4d |
completed | May 2, 2026, 10:39 p.m. |
Created at: April 29, 2026, 8:07 p.m.