Triple
T18933843
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A34 Kingsway |
E463187
|
entity |
| Predicate | roadNumber |
P1864
|
FINISHED |
| Object | A34 |
—
|
NE NERFINISHED |
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: A34 | Statement: [A34 Kingsway, roadNumber, A34]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: A34 Context triple: [A34 Kingsway, roadNumber, A34]
-
A.
A34
chosen
A34 is a major trunk road in England that runs from Winchester in Hampshire to Salford near Manchester, serving as an important north–south transport route.
-
B.
A33
A33 is a major road in southern England that runs between Reading and Southampton, serving as an important regional transport route.
-
C.
A30
The A30 is a major trunk road in southern England that runs from London to Land's End in Cornwall, serving as an important route across the southwest.
-
D.
A32
A32 is an Australian state highway route designation assigned to the Mitchell Highway and associated connecting roads.
-
E.
A35
A35 is a major French motorway in the Alsace region that runs north–south near the German border, connecting cities such as Strasbourg and Mulhouse.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dcfec90481909e926be9767e5779 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d3e57e648190aa4d3b09e84d4d38 |
completed | April 20, 2026, 7:21 a.m. |
Created at: April 10, 2026, 11:59 a.m.