Triple
T1754321
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | M20 motorway |
E38516
|
entity |
| Predicate | endPoint |
P390
|
FINISHED |
| Object |
Folkestone
Folkestone is a coastal town and port in Kent, England, known as a gateway to continental Europe via the Channel Tunnel and nearby ferry links.
|
E213999
|
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: Folkestone | Statement: [M20 motorway, endPoint, Folkestone]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Folkestone Context triple: [M20 motorway, endPoint, Folkestone]
-
A.
Ramsgate
Ramsgate is a seaside town and port on the Isle of Thanet in Kent, England, known historically as a popular resort and maritime hub.
-
B.
Eastbourne
Eastbourne is a seaside town and popular coastal resort on England’s south coast, known for its Victorian architecture, long promenade, and proximity to the chalk cliffs of Beachy Head.
-
C.
Fareham
Fareham is a market town in southern England situated between the cities of Southampton and Portsmouth.
-
D.
Bexhill-on-Sea
Bexhill-on-Sea is a seaside town in East Sussex, England, known for its Victorian and Edwardian architecture and the modernist De La Warr Pavilion on the south coast.
-
E.
Harwich
Harwich is a coastal town on southeastern Cape Cod in Massachusetts known for its beaches, harbors, and summer tourism.
- 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: Folkestone Triple: [M20 motorway, endPoint, Folkestone]
Generated description
Folkestone is a coastal town and port in Kent, England, known as a gateway to continental Europe via the Channel Tunnel and nearby ferry links.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Folkestone Target entity description: Folkestone is a coastal town and port in Kent, England, known as a gateway to continental Europe via the Channel Tunnel and nearby ferry links.
-
A.
Ramsgate
Ramsgate is a seaside town and port on the Isle of Thanet in Kent, England, known historically as a popular resort and maritime hub.
-
B.
Eastbourne
Eastbourne is a seaside town and popular coastal resort on England’s south coast, known for its Victorian architecture, long promenade, and proximity to the chalk cliffs of Beachy Head.
-
C.
Fareham
Fareham is a market town in southern England situated between the cities of Southampton and Portsmouth.
-
D.
Bexhill-on-Sea
Bexhill-on-Sea is a seaside town in East Sussex, England, known for its Victorian and Edwardian architecture and the modernist De La Warr Pavilion on the south coast.
-
E.
Harwich
Harwich is a coastal town on southeastern Cape Cod in Massachusetts known for its beaches, harbors, and summer tourism.
- 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_69a8862bdb2081908aefe831c8aa8017 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa641841748190ad05cac4a27cced9 |
completed | March 6, 2026, 5:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adeacc64808190976d4a604d7762ea |
completed | March 8, 2026, 9:31 p.m. |
| NEDg | Description generation | batch_69adeb503ec88190b8d0cb17bbb8f520 |
completed | March 8, 2026, 9:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adef13e030819086e9e8862198d859 |
completed | March 8, 2026, 9:50 p.m. |
Created at: March 4, 2026, 7:31 p.m.