Triple
T11018147
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Silver Street/Mill Lane site |
E260415
|
entity |
| Predicate | hasStreet |
P959
|
FINISHED |
| Object |
Mill Lane
Mill Lane is a street in central Cambridge, England, known for its historic riverside location near Silver Street and the River Cam.
|
E1082087
|
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: Mill Lane | Statement: [Silver Street/Mill Lane site, hasStreet, Mill Lane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mill Lane Context triple: [Silver Street/Mill Lane site, hasStreet, Mill 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.
Marsh Lane
Marsh Lane was the original name of what is now Northumberland Park railway station in north London.
-
C.
Rye Lane
Rye Lane is a bustling commercial street in Peckham, South London, known for its vibrant markets, diverse shops, and lively cultural scene.
-
D.
Syon Lane
Syon Lane is a suburban district in the London Borough of Hounslow, known for its residential areas, business parks, and proximity to Syon Park and the River Thames.
-
E.
Moor Lane
Moor Lane is a football stadium in Salford, Greater Manchester, best known as the long-standing home of Salford City F.C.
- 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: Mill Lane Triple: [Silver Street/Mill Lane site, hasStreet, Mill Lane]
Generated description
Mill Lane is a street in central Cambridge, England, known for its historic riverside location near Silver Street and the River Cam.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mill Lane Target entity description: Mill Lane is a street in central Cambridge, England, known for its historic riverside location near Silver Street and the River Cam.
-
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.
Marsh Lane
Marsh Lane was the original name of what is now Northumberland Park railway station in north London.
-
C.
Rye Lane
Rye Lane is a bustling commercial street in Peckham, South London, known for its vibrant markets, diverse shops, and lively cultural scene.
-
D.
Syon Lane
Syon Lane is a suburban district in the London Borough of Hounslow, known for its residential areas, business parks, and proximity to Syon Park and the River Thames.
-
E.
Moor Lane
Moor Lane is a football stadium in Salford, Greater Manchester, best known as the long-standing home of Salford City F.C.
- 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_69d6aa9687448190b28d353b1b6a610e |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d797a7f4a881908232f99d18d95149 |
completed | April 9, 2026, 12:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcdee6798c8190b2b47082cf0c32fb |
completed | May 7, 2026, 6:50 p.m. |
| NEDg | Description generation | batch_69fce0cc78e881909090ac42a97ebb12 |
completed | May 7, 2026, 6:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fce1f53a8881909fd1258729a9879d |
completed | May 7, 2026, 7:03 p.m. |
Created at: April 8, 2026, 9:25 p.m.