Triple
T34877364
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Solutions for Congested Corridors Program |
E1005914
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object |
Road Repair and Accountability Act of 2017
The Road Repair and Accountability Act of 2017 is a California transportation funding law that raised fuel taxes and vehicle fees to finance road maintenance, congestion relief, and infrastructure improvement projects statewide.
|
E2114537
|
NE 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: Road Repair and Accountability Act of 2017 | Statement: [Solutions for Congested Corridors Program, partOf, Road Repair and Accountability Act of 2017]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Road Repair and Accountability Act of 2017 Triple: [Solutions for Congested Corridors Program, partOf, Road Repair and Accountability Act of 2017]
Generated description
The Road Repair and Accountability Act of 2017 is a California transportation funding law that raised fuel taxes and vehicle fees to finance road maintenance, congestion relief, and infrastructure improvement projects statewide.
Provenance (5 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_69f76dbde1c08190a24e7f9beb564c8d |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f7819d85a88190be0aa14ecdfd77c7 |
completed | May 3, 2026, 5:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a377968c1e08190a42a4b2b52492945 |
completed | June 21, 2026, 5:40 a.m. |
| NEDg | Description generation | batch_6a3779d574e481909c73b8be299eae8f |
completed | June 21, 2026, 5:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a377a7836bc8190a77adab5c1c04df7 |
completed | June 21, 2026, 5:45 a.m. |
Created at: May 3, 2026, 4 p.m.