Triple
T12842882
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | M53 |
E307096
|
entity |
| Predicate | hasJunction |
P1018
|
FINISHED |
| Object | Junction 5 |
E1006023
|
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 5 | Statement: [M53, hasJunction, Junction 5]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Junction 5 Context triple: [M53, hasJunction, Junction 5]
-
A.
Junction 5
Junction 5 is a numbered exit on England’s M58 motorway, providing access between the motorway and the surrounding local road network.
-
B.
Junction 5
Junction 5 is a numbered interchange on England’s M20 motorway, providing access between the motorway and the surrounding local road network.
-
C.
Junction 9
Junction 9 is a major interchange on the M20 motorway in Kent, England, providing access to the town of Ashford and surrounding areas.
-
D.
Junction 3
Junction 3 is a numbered exit on England’s M66 motorway serving local connections in the Greater Manchester area.
-
E.
Junction 3
chosen
Junction 3 is a major motorway interchange on the M53 in northwest England, connecting local routes to the wider regional road network.
- 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_69d7bdf52b94819096d6f0ba4ab50a98 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96ff2ab60819085561a3120189985 |
completed | April 10, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6a54838888190804202e45a55de48 |
completed | May 3, 2026, 1:30 a.m. |
Created at: April 9, 2026, 5:35 p.m.