Triple
T5786577
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tramlink |
E128281
|
entity |
| Predicate | serves |
P98
|
FINISHED |
| Object |
Croydon
Croydon is a large town in South London, England, known as a major commercial and retail centre with extensive transport links into central London and surrounding areas.
|
E574969
|
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: Croydon | Statement: [Tramlink, serves, Croydon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Croydon Context triple: [Tramlink, serves, Croydon]
-
A.
West Croydon
West Croydon is a key transport hub in the London Borough of Croydon, serving as an interchange for trams, trains, and buses.
-
B.
East Croydon
East Croydon is a major railway and tram interchange in south London, serving as a key hub for commuter and regional transport.
-
C.
Camberwell
Camberwell is a small rural locality in the Singleton Shire of New South Wales, Australia, known for its coal mining and agricultural activities.
-
D.
Camberwell
Camberwell is a district in south London known for its diverse community, vibrant arts scene, and mix of historic and modern urban character.
-
E.
Wandsworth
Wandsworth is a district in southwest London, England, known for its riverside location on the River Thames and its mix of residential, commercial, and green spaces.
- 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: Croydon Triple: [Tramlink, serves, Croydon]
Generated description
Croydon is a large town in South London, England, known as a major commercial and retail centre with extensive transport links into central London and surrounding areas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Croydon Target entity description: Croydon is a large town in South London, England, known as a major commercial and retail centre with extensive transport links into central London and surrounding areas.
-
A.
West Croydon
West Croydon is a key transport hub in the London Borough of Croydon, serving as an interchange for trams, trains, and buses.
-
B.
East Croydon
East Croydon is a major railway and tram interchange in south London, serving as a key hub for commuter and regional transport.
-
C.
Camberwell
Camberwell is a small rural locality in the Singleton Shire of New South Wales, Australia, known for its coal mining and agricultural activities.
-
D.
Camberwell
Camberwell is a district in south London known for its diverse community, vibrant arts scene, and mix of historic and modern urban character.
-
E.
Wandsworth
Wandsworth is a district in southwest London, England, known for its riverside location on the River Thames and its mix of residential, commercial, and green spaces.
- 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_69c0084450048190bc647b649a05136b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02a1c29d48190af36cc855bb491dd |
completed | March 22, 2026, 5:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c16e75b76c8190881ce6ec2d093925 |
completed | March 23, 2026, 4:46 p.m. |
| NEDg | Description generation | batch_69c1dd3e436881909325d28108e767dd |
completed | March 24, 2026, 12:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c1ddd43a188190927ad7f56f4cf811 |
completed | March 24, 2026, 12:41 a.m. |
Created at: March 22, 2026, 3:51 p.m.