Triple
T6568648
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Magor |
E155375
|
entity |
| Predicate | hasNearbyMotorwayJunction |
P16027
|
FINISHED |
| Object | M4 Junction 23A |
—
|
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: M4 Junction 23A | Statement: [Magor, hasNearbyMotorwayJunction, M4 Junction 23A]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNearbyMotorwayJunction Context triple: [Magor, hasNearbyMotorwayJunction, M4 Junction 23A]
-
A.
motorwayJunctionNearby
chosen
Indicates that a motorway junction is located close to the referenced entity.
-
B.
nearestMotorway
Indicates that one entity is the motorway that is geographically closest to the other entity.
-
C.
nearJunctionOf
Indicates that one entity is located close to the point where two or more linear features (such as roads, tracks, or paths) meet or intersect.
-
D.
connectsToHighway
Indicates that one location, road, or route has a direct access point or linkage to a highway.
-
E.
hasApproachRoad
Indicates that one entity is connected to or accessed by another entity via an approach road leading to it.
- 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_69c688151254819080387f87deab8fa7 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6cc9c6cb0819084fec8e0beb430de |
completed | March 27, 2026, 6:29 p.m. |
| PD | Predicate disambiguation | batch_69c6acf93cb48190b54f5dd6febd34dc |
completed | March 27, 2026, 4:14 p.m. |
Created at: March 27, 2026, 1:53 p.m.