Triple
T1902186
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bluewater |
E37713
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object |
Greenhithe
Greenhithe is a village in Kent, England, known for its proximity to the River Thames and major retail and transport hubs in the Dartford area.
|
E212183
|
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: Greenhithe | Statement: [Bluewater, locatedIn, Greenhithe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Greenhithe Context triple: [Bluewater, locatedIn, Greenhithe]
-
A.
Hythe
Hythe is a historic coastal town in Kent, England, known as one of the original Cinque Ports that once played a key role in maritime defense and trade.
-
B.
Honiton
Honiton is a market town in East Devon, England, historically known for its lace-making and situated on key transport routes in the region.
-
C.
Blackheath
Blackheath is a historic village and popular tourist stop in the Blue Mountains of New South Wales, Australia, known for its dramatic cliffs, lookouts, and bushwalking trails.
-
D.
Burgh Heath
Burgh Heath is a residential area and local community within the borough of Reigate and Banstead in Surrey, England.
-
E.
Highfield
Highfield is one of Harare’s oldest and most populous high-density suburbs, historically known as a center of political activism in Zimbabwe.
- 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: Greenhithe Triple: [Bluewater, locatedIn, Greenhithe]
Generated description
Greenhithe is a village in Kent, England, known for its proximity to the River Thames and major retail and transport hubs in the Dartford area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Greenhithe Target entity description: Greenhithe is a village in Kent, England, known for its proximity to the River Thames and major retail and transport hubs in the Dartford area.
-
A.
Hythe
Hythe is a historic coastal town in Kent, England, known as one of the original Cinque Ports that once played a key role in maritime defense and trade.
-
B.
Honiton
Honiton is a market town in East Devon, England, historically known for its lace-making and situated on key transport routes in the region.
-
C.
Blackheath
Blackheath is a historic village and popular tourist stop in the Blue Mountains of New South Wales, Australia, known for its dramatic cliffs, lookouts, and bushwalking trails.
-
D.
Burgh Heath
Burgh Heath is a residential area and local community within the borough of Reigate and Banstead in Surrey, England.
-
E.
Highfield
Highfield is one of Harare’s oldest and most populous high-density suburbs, historically known as a center of political activism in Zimbabwe.
- 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_69a8861be7148190a680937ec451a304 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb18f10e48190b2f8c64c42cc55f3 |
completed | March 7, 2026, 5:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adeaf558148190b920693e2348190f |
completed | March 8, 2026, 9:32 p.m. |
| NEDg | Description generation | batch_69adebafc474819092f9e2ec9768cf3f |
completed | March 8, 2026, 9:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adec2a928881909a1059ea5d4fc72b |
completed | March 8, 2026, 9:37 p.m. |
Created at: March 4, 2026, 7:35 p.m.