Triple
T14931588
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Raynes Park |
E372277
|
entity |
| Predicate | roadJunctionOf |
P6234
|
FINISHED |
| Object |
A3
The A3 is a major road in England connecting London to Portsmouth, serving as a key transport route through southwest London and Surrey.
|
E1086691
|
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: A3 | Statement: [Raynes Park, roadJunctionOf, A3]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: A3 Context triple: [Raynes Park, roadJunctionOf, A3]
-
A.
A3
A3 is a major national highway in Zimbabwe that serves as an important route connecting key towns and regions within the country.
-
B.
A3
A3 is a British band best known for its eclectic fusion of rock, electronic, blues, and country influences, including the song used as the theme for the TV series "The Sopranos."
-
C.
A3
A3 is the station code assigned to Hua Mak station on Bangkok’s Airport Rail Link transit system.
-
D.
A3
A3 is a major German autobahn that runs across several federal states, serving as an important east–west transport corridor.
-
E.
A3
A3 is the IATA airline designator for Aegean Airlines, the largest Greek airline and a member of the Star Alliance.
- 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: A3 Triple: [Raynes Park, roadJunctionOf, A3]
Generated description
The A3 is a major road in England connecting London to Portsmouth, serving as a key transport route through southwest London and Surrey.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: A3 Target entity description: The A3 is a major road in England connecting London to Portsmouth, serving as a key transport route through southwest London and Surrey.
-
A.
A3
chosen
The A3 is a major trunk road in England that links London to Portsmouth, serving as a key route between the capital and the south coast.
-
B.
A3
A3 is a major national highway in Zimbabwe that serves as an important route connecting key towns and regions within the country.
-
C.
A3
A3 is a major Swiss motorway that runs across the country’s north, connecting key cities and regions as part of the national highway network.
-
D.
A3
A3 is a major German autobahn that runs across several federal states, serving as an important east–west transport corridor.
-
E.
A3
A3 is a French autoroute designation for a major motorway segment within the national highway network.
- F. None of above.
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_69d85cc9da0c81908d583ca3f63a3908 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded64550dc8190ba44120df00ba498 |
completed | April 15, 2026, 12:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe72c86b5c81909e601a3fc78276bd |
completed | May 8, 2026, 11:33 p.m. |
| NEDg | Description generation | batch_69fe7360c11481908e2e5127b466e31b |
completed | May 8, 2026, 11:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe743c37308190a045ef5f0ade8508 |
completed | May 8, 2026, 11:39 p.m. |
Created at: April 10, 2026, 2:36 a.m.