Triple
T28183261
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meiers Corners |
E716095
|
entity |
| Predicate | majorRoadwayNearby |
P49834
|
FINISHED |
| Object | Victory Boulevard |
—
|
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: Victory Boulevard | Statement: [Meiers Corners, majorRoadwayNearby, Victory Boulevard]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorRoadwayNearby Context triple: [Meiers Corners, majorRoadwayNearby, Victory Boulevard]
-
A.
nearbyMajorRoad
chosen
Indicates that one entity is located close to a significant or heavily used road.
-
B.
nearbyHighwayMilepost
Indicates that one entity is located close to a specific highway milepost associated with another entity.
-
C.
motorwayJunctionNearby
Indicates that a motorway junction is located close to the referenced entity.
-
D.
nearestRoadHead
Indicates that one location is the closest accessible road endpoint (or road access point) to another location.
-
E.
distanceFromRoads
Indicates the measured or estimated spatial distance between a location and the nearest road.
- 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_69efd6b4fc5c81909dd88f01a8c2b35d |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69fd3a69f1e08190a11aed015bff0858 |
completed | May 8, 2026, 1:20 a.m. |
| PD | Predicate disambiguation | batch_69fd39124180819080ca7911d3515d6d |
completed | May 8, 2026, 1:14 a.m. |
Created at: April 27, 2026, 10:21 p.m.