Triple
T12447751
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Mexico State Road 57 |
E297445
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | SR 57 |
E493245
|
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: SR 57 | Statement: [New Mexico State Road 57, abbreviation, SR 57]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SR 57 Context triple: [New Mexico State Road 57, abbreviation, SR 57]
-
A.
SR 57
chosen
SR 57 is a state highway in Ohio that serves as a regional connector route through several communities in the northern part of the state.
-
B.
SR 55
SR 55 is a state highway in Georgia that serves as a regional connector route through several counties in the state.
-
C.
SR 51
SR 51 is a major north–south freeway in the Phoenix, Arizona metropolitan area that connects downtown Phoenix with its northeastern suburbs.
-
D.
SR 58
SR 58 is a major east–west California state highway that connects the Central Coast to the Mojave Desert, serving as an important freight and travel corridor across the state.
-
E.
SR 53
SR 53 is a state highway designation used for numbered routes in various U.S. states.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6ada166c48190b902972cd2408fa3 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d9e592c81908cf7f3ca170d942c |
completed | April 10, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63f132d048190b58a8381bdc74cad |
completed | May 2, 2026, 6:14 p.m. |
Created at: April 8, 2026, 9:56 p.m.