Triple
T30840500
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Diego County highway system |
E785493
|
entity |
| Predicate | safetyProgramsBy |
P173756
|
FINISHED |
| Object | San Diego County Department of Public Works |
—
|
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 Diego County Department of Public Works | Statement: [San Diego County highway system, safetyProgramsBy, San Diego County Department of Public Works]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: safetyProgramsBy Context triple: [San Diego County highway system, safetyProgramsBy, San Diego County Department of Public Works]
-
A.
safetyPrograms
Indicates that there are organized measures, policies, or initiatives implemented to protect people or assets from harm or risk.
-
B.
sponsoredPrograms
Indicates that an entity provides financial or resource support to specific programs or initiatives.
-
C.
applicablePrograms
Indicates that certain programs are relevant to, valid for, or can be applied in the context of a given entity or situation.
-
D.
companyProgram
Indicates that a program is organized, operated, or sponsored by a specific company.
-
E.
supportingProgram
Indicates that one program provides assistance, resources, or backing to another program or initiative.
- 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_69f224b73d8c81908129383bfb397c87 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6ba1733408190af579d93a7946508 |
completed | May 3, 2026, 2:59 a.m. |
| PD | Predicate disambiguation | batch_69f6b6293188819080d5041ca0adb969 |
completed | May 3, 2026, 2:42 a.m. |
| PDg | Predicate description generation | batch_69f6b960ca4081909a77690c2b122f5e |
completed | May 3, 2026, 2:56 a.m. |
Created at: April 29, 2026, 8:45 p.m.