Triple
T4477427
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pease Pottage |
E100042
|
entity |
| Predicate | nearMotorwayJunction |
P16027
|
FINISHED |
| Object | M23 Junction 11 |
—
|
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: M23 Junction 11 | Statement: [Pease Pottage, nearMotorwayJunction, M23 Junction 11]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nearMotorwayJunction Context triple: [Pease Pottage, nearMotorwayJunction, M23 Junction 11]
-
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.
nearestRoadHead
Indicates that one location is the closest accessible road endpoint (or road access point) to another location.
-
E.
nearbyMajorRoad
Indicates that one entity is located close to a significant or heavily used 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_69b34553cbe48190afa8ac1cac285b86 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35728ed508190ba0e882fa62d8848 |
completed | March 13, 2026, 12:15 a.m. |
| PD | Predicate disambiguation | batch_69b3563d63008190816e37027e761375 |
completed | March 13, 2026, 12:11 a.m. |
Created at: March 12, 2026, 11:35 p.m.