Triple
T12977610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Woods Creek |
E321568
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | State Route 49 |
—
|
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: State Route 49 | Statement: [Woods Creek, near, State Route 49]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: State Route 49 Context triple: [Woods Creek, near, State Route 49]
-
A.
State Route 49
State Route 49 is a primary state highway in Georgia that connects several central Georgia communities and serves as a key regional transportation corridor.
-
B.
State Route 49
chosen
State Route 49 is a historic north–south highway in California that runs through the Sierra Nevada foothills, linking many of the state’s Gold Rush-era towns.
-
C.
State Route 49
State Route 49 is a north–south state highway in Ohio that connects several rural communities and counties in the western part of the state.
-
D.
State Route 47
State Route 47 is a California state highway serving the Port of Los Angeles area and connecting local surface streets to major freeways in the Los Angeles region.
-
E.
State Route 47
State Route 47 is an east–west state highway in Ohio that passes through several communities in the western part of 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_69d80763bd6c819094437da5b20b01d2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e48c0208190bb7ec80780480b37 |
completed | April 10, 2026, 10:48 p.m. |
Created at: April 9, 2026, 8:38 p.m.