Triple
T37495585
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scenic Byway 12 |
E931817
|
entity |
| Predicate | allAmericanRoadDesignationYear |
P105575
|
FINISHED |
| Object | 2002 |
—
|
LITERAL 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: 2002 | Statement: [Scenic Byway 12, allAmericanRoadDesignationYear, 2002]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: allAmericanRoadDesignationYear Context triple: [Scenic Byway 12, allAmericanRoadDesignationYear, 2002]
-
A.
yearInterstateOverpassCompleted
Indicates the calendar year in which a particular interstate overpass was completed.
-
B.
yearDesignated
chosen
Indicates the specific year in which something was formally designated, assigned, or given an official status.
-
C.
isAllYearRoad
Indicates that a road remains accessible and usable throughout the entire year, regardless of seasonal or weather conditions.
-
D.
highwayNumberingStatus
Indicates the current designation or classification state of a highway within an official numbering system.
-
E.
federalDesignationYear
Indicates the year in which an entity was officially granted a federal designation or status.
- F. None of above.
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_69f76ec457a4819094eeb3aed9baac11 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fba68077788190b311e027435fcf87 |
completed | May 6, 2026, 8:37 p.m. |
| PD | Predicate disambiguation | batch_69fba34c65ac8190b298f0f00d1dcc0e |
completed | May 6, 2026, 8:23 p.m. |
Created at: May 3, 2026, 4:17 p.m.