Triple
T15189504
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | M58 |
E362966
|
entity |
| Predicate | hasJunction |
P1018
|
FINISHED |
| Object | Junction 7 |
E368358
|
NE 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: Junction 7 | Statement: [M58, hasJunction, Junction 7]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Junction 7 Context triple: [M58, hasJunction, Junction 7]
-
A.
Junction 7
chosen
Junction 7 is a numbered junction on England’s M58 motorway, serving as one of the route’s access and exit points.
-
B.
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.
-
C.
Junction 7
Junction 7 is a major motorway interchange on England’s M53, serving as a key access point between local roads and the wider regional 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.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d85a09a39c81908759f23268e2d408 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0067beedc8190abc0a94c7a38f85e |
completed | April 15, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fec89797ac819090fb68bb5f2fad5c |
completed | May 9, 2026, 5:39 a.m. |
Created at: April 10, 2026, 3:10 a.m.