Triple
T23431481
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | State Road 60 |
E563344
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | SR 60 |
—
|
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: SR 60 | Statement: [State Road 60, abbreviation, SR 60]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SR 60 Context triple: [State Road 60, abbreviation, SR 60]
-
A.
SR 60
chosen
SR 60 is a major east–west freeway in Southern California that connects Los Angeles to the Inland Empire and serves as a key commuter and freight corridor.
-
B.
SR 6
SR 6 is a state highway in Washington that runs east–west through rural southwestern parts of the state, connecting communities between the Pacific Coast and the Interstate 5 corridor.
-
C.
SR 65
SR 65 is a north–south state highway in California that primarily serves the Central Valley, connecting communities and providing an alternate route to State Route 99.
-
D.
SR 69
SR 69 is a state highway in Maine that runs east–west through Penobscot and Waldo counties, connecting several small towns and intersecting major regional routes.
-
E.
SR 69
SR 69 is a state highway in Alabama that runs generally north–south, connecting multiple cities and rural areas across the state.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e24553980c8190bb66a2ae0bdab125 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1a5d8130881909e4f3455afef1804 |
completed | April 29, 2026, 6:31 a.m. |
Created at: April 17, 2026, 5:49 p.m.