Triple
T4349979
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reigate and Banstead |
E97998
|
entity |
| Predicate | hasMajorRoad |
P385
|
FINISHED |
| Object | M23 motorway |
E17981
|
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: M23 motorway | Statement: [Reigate and Banstead, hasMajorRoad, M23 motorway]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: M23 motorway Context triple: [Reigate and Banstead, hasMajorRoad, M23 motorway]
-
A.
M23 motorway
chosen
The M23 motorway is a major road in South East England linking London to Gatwick Airport and the vicinity of Brighton.
-
B.
M96 motorway
The M96 motorway is a short, little-known British motorway designation that has been used primarily for emergency services training rather than as a public through route.
-
C.
M26 motorway
The M26 motorway is a short English motorway in Kent that links the M25 and M20, serving as a key connector for traffic between London and the Channel ports.
-
D.
M20 motorway
The M20 motorway is a major road in South East England that connects London to the Channel Tunnel and the ports of Dover, serving as a key route for traffic to and from continental Europe.
-
E.
M-9 Motorway
The M-9 Motorway is a major Pakistani expressway that links the cities of Karachi and Hyderabad in the province of Sindh.
- 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_69b3454965f881908c41190bb22f0e4b |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b351a840248190b88c8a7be9158d25 |
completed | March 12, 2026, 11:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5dbb01fb0819083fbdd194b2a96f8 |
completed | March 14, 2026, 10:05 p.m. |
Created at: March 12, 2026, 11:15 p.m.