Triple
T9135629
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Berlin Heights, Ohio |
E219193
|
entity |
| Predicate | majorNearbyHighway |
P385
|
FINISHED |
| Object | U.S. Route 250 |
—
|
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: U.S. Route 250 | Statement: [Berlin Heights, Ohio, majorNearbyHighway, U.S. Route 250]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorNearbyHighway Context triple: [Berlin Heights, Ohio, majorNearbyHighway, U.S. Route 250]
-
A.
nearbyMajorRoad
Indicates that one entity is located close to a significant or heavily used road.
-
B.
hasMajorHighway
chosen
Indicates that a location or area is served by or directly connected to a major highway route.
-
C.
nearestInterstateHighway
Indicates that one interstate highway is the closest in distance to a given location or route compared to all other interstate highways.
-
D.
motorwayJunctionNearby
Indicates that a motorway junction is located close to the referenced entity.
-
E.
connectsToHighway
Indicates that one location, road, or route has a direct access point or linkage to a highway.
- 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_69ca83e012288190a5771058adbaabd2 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca8df68108190bb2df0583c5ad481 |
completed | April 1, 2026, 5:10 a.m. |
| PD | Predicate disambiguation | batch_69cc6601d77881908299d58db6e64937 |
completed | April 1, 2026, 12:25 a.m. |
Created at: March 30, 2026, 7:18 p.m.