Triple
T2640910
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ramsgate |
E62862
|
entity |
| Predicate | postalTown |
P2711
|
FINISHED |
| Object |
RAMSGATE
RAMSGATE is a seaside town in the district of Thanet in Kent, England, known for its historic harbour and sandy beaches.
|
E286204
|
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: RAMSGATE | Statement: [Ramsgate, postalTown, RAMSGATE]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: RAMSGATE Context triple: [Ramsgate, postalTown, RAMSGATE]
-
A.
Moorgate
Moorgate is a historic financial and commercial area in central London, known for its offices, transport links, and proximity to the heart of the City’s banking district.
-
B.
Gallowgate
Gallowgate is a historic street and district in Glasgow, Scotland, known for its traditional pubs, music venues, and proximity to the city’s East End cultural landmarks.
-
C.
Claygate
Claygate is a suburban village in Surrey, England, known for its leafy residential character and commuter links to London.
-
D.
Wigan Wallgate
Wigan Wallgate is a railway station in Wigan, Greater Manchester, serving regional and commuter services on routes including those toward Manchester and Southport.
-
E.
Canongate
Canongate is a historic street and district in Edinburgh’s Old Town, known for its royal connections and significant civic and religious buildings.
- 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: RAMSGATE Triple: [Ramsgate, postalTown, RAMSGATE]
Generated description
RAMSGATE is a seaside town in the district of Thanet in Kent, England, known for its historic harbour and sandy beaches.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: RAMSGATE Target entity description: RAMSGATE is a seaside town in the district of Thanet in Kent, England, known for its historic harbour and sandy beaches.
-
A.
Moorgate
Moorgate is a historic financial and commercial area in central London, known for its offices, transport links, and proximity to the heart of the City’s banking district.
-
B.
Gallowgate
Gallowgate is a historic street and district in Glasgow, Scotland, known for its traditional pubs, music venues, and proximity to the city’s East End cultural landmarks.
-
C.
Claygate
Claygate is a suburban village in Surrey, England, known for its leafy residential character and commuter links to London.
-
D.
Wigan Wallgate
Wigan Wallgate is a railway station in Wigan, Greater Manchester, serving regional and commuter services on routes including those toward Manchester and Southport.
-
E.
Canongate
Canongate is a historic street and district in Edinburgh’s Old Town, known for its royal connections and significant civic and religious buildings.
- 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_69ab4c3f2dcc819082df80f5e032f690 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abd8fc8ee881908a9f6820d8934a62 |
completed | March 7, 2026, 7:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af98bd689481908568d35baac1e065 |
completed | March 10, 2026, 4:06 a.m. |
| NEDg | Description generation | batch_69af99c237548190838559ccac95f1c5 |
completed | March 10, 2026, 4:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69af9a5938b48190820f37f2e2280438 |
completed | March 10, 2026, 4:13 a.m. |
Created at: March 6, 2026, 9:53 p.m.