Triple
T3070379
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cinque Ports |
E64004
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Faversham
Faversham is a historic market town in Kent, England, known for its medieval architecture, maritime heritage, and long-standing brewing industry.
|
E324145
|
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: Faversham | Statement: [Cinque Ports, hasPart, Faversham]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Faversham Context triple: [Cinque Ports, hasPart, Faversham]
-
A.
Fordwich
Fordwich is a small historic town in Kent, England, often noted as one of the smallest towns in Britain and situated near Canterbury.
-
B.
Maidstone
Maidstone is a large historic town in southeast England that serves as the administrative and commercial center of the county of Kent.
-
C.
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.
-
D.
Westerham
Westerham is a small historic town in Kent, England, known for its picturesque setting and associations with figures such as Winston Churchill.
-
E.
Uckfield
Uckfield is a small market town in East Sussex, England, known for its historic high street and role as a local commercial and commuter hub.
- 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: Faversham Triple: [Cinque Ports, hasPart, Faversham]
Generated description
Faversham is a historic market town in Kent, England, known for its medieval architecture, maritime heritage, and long-standing brewing industry.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Faversham Target entity description: Faversham is a historic market town in Kent, England, known for its medieval architecture, maritime heritage, and long-standing brewing industry.
-
A.
Fordwich
Fordwich is a small historic town in Kent, England, often noted as one of the smallest towns in Britain and situated near Canterbury.
-
B.
Maidstone
Maidstone is a large historic town in southeast England that serves as the administrative and commercial center of the county of Kent.
-
C.
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.
-
D.
Westerham
Westerham is a small historic town in Kent, England, known for its picturesque setting and associations with figures such as Winston Churchill.
-
E.
Uckfield
Uckfield is a small market town in East Sussex, England, known for its historic high street and role as a local commercial and commuter hub.
- 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_69ad857a8aec8190bfdfd9c14554ac5a |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada100f0b8819095da366fdc6803a8 |
completed | March 8, 2026, 4:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1f87f6a3881908ae313f62ff13159 |
completed | March 11, 2026, 11:19 p.m. |
| NEDg | Description generation | batch_69b1f908ee3081909126bc3797658fca |
completed | March 11, 2026, 11:21 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b1f99f7aec8190bb35ef4ddf64735c |
completed | March 11, 2026, 11:24 p.m. |
Created at: March 8, 2026, 3:02 p.m.