Triple
T1413981
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Storrow Drive |
E31868
|
entity |
| Predicate | isGradeSeparatedFrom |
P10712
|
FINISHED |
| Object | local street network in many segments |
—
|
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: local street network in many segments | Statement: [Storrow Drive, isGradeSeparatedFrom, local street network in many segments]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isGradeSeparatedFrom Context triple: [Storrow Drive, isGradeSeparatedFrom, local street network in many segments]
-
A.
isMajorInterchangeFor
Indicates that one location functions as a primary hub where multiple routes or lines connect or transfer between each other for another location.
-
B.
connectsToHighway
Indicates that one location, road, or route has a direct access point or linkage to a highway.
-
C.
roadJunctionIncludes
Indicates that a road junction spatially contains or encompasses a specific road segment or related roadway element as part of its structure.
-
D.
crossingType
chosen
Indicates the specific kind or category of crossing (e.g., how or where one thing passes over, through, or across another).
-
E.
hasMajorCrossing
Indicates that one entity has a significant or primary intersection or crossing with another entity.
- 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_69a49919a994819086528951bc224775 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c3e476f08190aed1576805c62462 |
completed | March 1, 2026, 10:55 p.m. |
| PD | Predicate disambiguation | batch_69a4bf048b648190ab77d9b45cb4855f |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:59 p.m.