Triple
T2847544
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Green Park Underground station |
E63016
|
entity |
| Predicate | originalName |
P65
|
FINISHED |
| Object |
Dover Street
Dover Street was the original name of what is now Green Park Underground station on the London Underground.
|
E303270
|
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: Dover Street | Statement: [Green Park Underground station, originalName, Dover Street]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dover Street Context triple: [Green Park Underground station, originalName, Dover Street]
-
A.
London Road
London Road was the historic name of Manchester Piccadilly railway station, one of the main rail hubs in Manchester, England.
-
B.
North Laine
North Laine is a vibrant cultural and shopping district in Brighton known for its independent shops, cafes, street art, and bohemian atmosphere.
-
C.
Hosier Lane
Hosier Lane is a famous laneway in Melbourne renowned for its ever-changing street art and graffiti-covered walls, making it a major attraction for urban art enthusiasts.
-
D.
Catte Street
Catte Street is a historic street in central Oxford, England, known for its proximity to major university buildings and landmarks.
-
E.
Ashford Avenue
Ashford Avenue is a major thoroughfare in San Juan’s Condado district, known for its hotels, restaurants, shops, and beachfront access.
- 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: Dover Street Triple: [Green Park Underground station, originalName, Dover Street]
Generated description
Dover Street was the original name of what is now Green Park Underground station on the London Underground.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dover Street Target entity description: Dover Street was the original name of what is now Green Park Underground station on the London Underground.
-
A.
London Road
London Road was the historic name of Manchester Piccadilly railway station, one of the main rail hubs in Manchester, England.
-
B.
North Laine
North Laine is a vibrant cultural and shopping district in Brighton known for its independent shops, cafes, street art, and bohemian atmosphere.
-
C.
Hosier Lane
Hosier Lane is a famous laneway in Melbourne renowned for its ever-changing street art and graffiti-covered walls, making it a major attraction for urban art enthusiasts.
-
D.
Catte Street
Catte Street is a historic street in central Oxford, England, known for its proximity to major university buildings and landmarks.
-
E.
Ashford Avenue
Ashford Avenue is a major thoroughfare in San Juan’s Condado district, known for its hotels, restaurants, shops, and beachfront access.
- 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_69ab4c407c408190857d25e027155ce9 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdf3ebbac819090e2bf98ed9fbd02 |
completed | March 7, 2026, 8:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afe8dbdff88190b6c46cfd6ef54bb8 |
completed | March 10, 2026, 9:48 a.m. |
| NEDg | Description generation | batch_69afe9ac2e94819095513eab63b60dc4 |
completed | March 10, 2026, 9:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b002c3187481909c0e352d5902a468 |
completed | March 10, 2026, 11:38 a.m. |
Created at: March 6, 2026, 10:02 p.m.