Triple
T4890800
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wearside |
E109554
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Easington Lane
Easington Lane is a village in the City of Sunderland, Tyne and Wear, in North East England.
|
E582187
|
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: Easington Lane | Statement: [Wearside, contains, Easington Lane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Easington Lane Context triple: [Wearside, contains, Easington Lane]
-
A.
Woodhouse Lane
Woodhouse Lane is a major road in Leeds, West Yorkshire, serving as a key route between the city centre and the university and Hyde Park areas.
-
B.
Moor Lane
Moor Lane is a football stadium in Salford, Greater Manchester, best known as the long-standing home of Salford City F.C.
-
C.
Rayners Lane
Rayners Lane is a suburban area and London Underground station district in northwest London, known for its residential character and Art Deco architecture.
-
D.
Wrights Lane
Wrights Lane is a street in the Kensington district of London, known for connecting residential areas to the busy Kensington High Street and nearby commercial and transport amenities.
-
E.
Sisotowbell Lane
"Sisotowbell Lane" is a gentle, whimsical folk song by Joni Mitchell from her 1968 debut album "Song to a Seagull."
- 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: Easington Lane Triple: [Wearside, contains, Easington Lane]
Generated description
Easington Lane is a village in the City of Sunderland, Tyne and Wear, in North East England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Easington Lane Target entity description: Easington Lane is a village in the City of Sunderland, Tyne and Wear, in North East England.
-
A.
Woodhouse Lane
Woodhouse Lane is a major road in Leeds, West Yorkshire, serving as a key route between the city centre and the university and Hyde Park areas.
-
B.
Moor Lane
Moor Lane is a football stadium in Salford, Greater Manchester, best known as the long-standing home of Salford City F.C.
-
C.
Rayners Lane
Rayners Lane is a suburban area and London Underground station district in northwest London, known for its residential character and Art Deco architecture.
-
D.
Wrights Lane
Wrights Lane is a street in the Kensington district of London, known for connecting residential areas to the busy Kensington High Street and nearby commercial and transport amenities.
-
E.
Sisotowbell Lane
"Sisotowbell Lane" is a gentle, whimsical folk song by Joni Mitchell from her 1968 debut album "Song to a Seagull."
- 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_69bd440f71348190b99938e59fb7f9a1 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6e07ca10819083f80f12374544b1 |
completed | March 20, 2026, 3:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c5187dfe008190ac60e042527e55b3 |
completed | March 26, 2026, 11:29 a.m. |
| NEDg | Description generation | batch_69c51d645a4c8190868bd75077ed8d28 |
completed | March 26, 2026, 11:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c51dda73f48190b541aaa9a64c0861 |
completed | March 26, 2026, 11:51 a.m. |
Created at: March 20, 2026, 1:28 p.m.