Triple
T17787294
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | State Route 57 |
E444050
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | CA 57 |
—
|
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: CA 57 | Statement: [State Route 57, abbreviation, CA 57]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CA 57 Context triple: [State Route 57, abbreviation, CA 57]
-
A.
CA 57
chosen
CA 57 is a major north–south freeway in Southern California that connects Orange County to the Pomona area and serves as a key commuter and regional traffic corridor.
-
B.
CA 17
CA 17 is a major and often congested highway in California that connects the San Jose area in Silicon Valley with the city of Santa Cruz over the Santa Cruz Mountains.
-
C.
CA 70
CA 70 is a state highway in California that runs through the northern part of the state, connecting the Sacramento Valley to the Sierra Nevada region.
-
D.
CA 59
CA 59 is a north–south state highway in California that connects the city of Merced with surrounding rural areas in the San Joaquin Valley.
-
E.
CA 65
CA 65 is a north–south state highway in California that primarily serves the Central Valley, connecting communities between Bakersfield and Roseville.
- 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_69d8b9ef17708190bdf7e2adbf14ddc2 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48794542c8190b049bce6e28c9f3a |
completed | April 19, 2026, 7:43 a.m. |
Created at: April 10, 2026, 10:12 a.m.