Triple
T12142705
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | M55 motorway |
E289227
|
entity |
| Predicate | hasJunction |
P1018
|
FINISHED |
| Object |
Junction 4
Junction 4 is a junction on England’s M55 motorway, serving as one of the key access points between the motorway and the local road network near Blackpool.
|
E964319
|
NE FINISHED |
How this triple was built (4 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: Junction 4 | Statement: [M55 motorway, hasJunction, Junction 4]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Junction 4 Context triple: [M55 motorway, hasJunction, Junction 4]
-
A.
Junction 6
Junction 6 is an interchange on England’s M58 motorway connecting local roads to the regional motorway network.
-
B.
Junction 7
Junction 7 is a numbered junction on England’s M58 motorway, serving as one of the route’s access and exit points.
-
C.
Junction 7
Junction 7 is a numbered interchange on the M20 motorway in England, providing access between the motorway and the surrounding local road network.
-
D.
Junction 1
Junction 1 is a major road interchange on England’s M58 motorway, connecting it with local and regional routes.
-
E.
Junction 1
Junction 1 is a motorway interchange on the M20 in southeast England, providing access between the M20 and local roads near the London orbital route.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Junction 4 Triple: [M55 motorway, hasJunction, Junction 4]
Generated description
Junction 4 is a junction on England’s M55 motorway, serving as one of the key access points between the motorway and the local road network near Blackpool.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Junction 4 Target entity description: Junction 4 is a junction on England’s M55 motorway, serving as one of the key access points between the motorway and the local road network near Blackpool.
-
A.
Junction 6
Junction 6 is an interchange on England’s M58 motorway connecting local roads to the regional motorway network.
-
B.
Junction 7
Junction 7 is a numbered junction on England’s M58 motorway, serving as one of the route’s access and exit points.
-
C.
Junction 7
Junction 7 is a numbered interchange on the M20 motorway in England, providing access between the motorway and the surrounding local road network.
-
D.
Junction 1
Junction 1 is a major road interchange on England’s M58 motorway, connecting it with local and regional routes.
-
E.
Junction 1
Junction 1 is a motorway interchange on the M20 in southeast England, providing access between the M20 and local roads near the London orbital route.
- F. None of above. chosen
Provenance (5 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_69d6ab4c6710819097a9d228382dde43 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915a9838081909622cc14df2a2582 |
completed | April 10, 2026, 3:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f69501348190a9ac090c7db37c20 |
completed | May 2, 2026, 1:05 p.m. |
| NEDg | Description generation | batch_69f5ff815b748190932bfe163ea2847d |
completed | May 2, 2026, 1:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f60185ce8c8190abe3b1f633aac55d |
completed | May 2, 2026, 1:52 p.m. |
Created at: April 8, 2026, 9:49 p.m.