Triple
T8010452
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Burgh Heath |
E186474
|
entity |
| Predicate | roadJunctionOf |
P6234
|
FINISHED |
| Object |
A217
The A217 is a major road in southern England that connects parts of London with Surrey, serving as an important route for local and regional traffic.
|
E707332
|
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: A217 | Statement: [Burgh Heath, roadJunctionOf, A217]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: A217 Context triple: [Burgh Heath, roadJunctionOf, A217]
-
A.
A21
A21 is a major road in the United Kingdom that connects London with the coastal town of Hastings in East Sussex.
-
B.
A127
The A127 is a major road in Essex, England, linking London with Southend-on-Sea and serving towns such as Basildon along its route.
-
C.
A2100
A2100 is a widely used modular satellite bus platform developed by Lockheed Martin for commercial and military communications satellites.
-
D.
A201
The A201 is a key urban A-road in central London that connects areas such as Blackfriars with other parts of the city’s inner road network.
-
E.
A22
A22 is a major Portuguese motorway, commonly known as Via do Infante, that runs across the Algarve region in southern Portugal.
- 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: A217 Triple: [Burgh Heath, roadJunctionOf, A217]
Generated description
The A217 is a major road in southern England that connects parts of London with Surrey, serving as an important route for local and regional traffic.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: A217 Target entity description: The A217 is a major road in southern England that connects parts of London with Surrey, serving as an important route for local and regional traffic.
-
A.
A21
A21 is a major road in the United Kingdom that connects London with the coastal town of Hastings in East Sussex.
-
B.
A127
The A127 is a major road in Essex, England, linking London with Southend-on-Sea and serving towns such as Basildon along its route.
-
C.
A2100
A2100 is a widely used modular satellite bus platform developed by Lockheed Martin for commercial and military communications satellites.
-
D.
A201
The A201 is a key urban A-road in central London that connects areas such as Blackfriars with other parts of the city’s inner road network.
-
E.
A22
A22 is a major Portuguese motorway, commonly known as Via do Infante, that runs across the Algarve region in southern Portugal.
- 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_69ca82abaffc8190ab8af79cdbc31ab3 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3d70caf8819090a9f98025470c0d |
completed | March 31, 2026, 3:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc56a54e8081908208b57b7390cc95 |
completed | March 31, 2026, 11:20 p.m. |
| NEDg | Description generation | batch_69cc58ecd0608190ab0880992bc203fb |
completed | March 31, 2026, 11:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc5cb791b48190bd5004b518d23f84 |
completed | March 31, 2026, 11:45 p.m. |
Created at: March 30, 2026, 5:19 p.m.