Triple
T2992435
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chelsea, London, England |
E80786
|
entity |
| Predicate | hasStreet |
P959
|
FINISHED |
| Object |
Sloane Street
Sloane Street is an affluent shopping street in London renowned for its luxury fashion boutiques and high-end retailers.
|
E392051
|
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: Sloane Street | Statement: [Chelsea, London, England, hasStreet, Sloane Street]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sloane Street Context triple: [Chelsea, London, England, hasStreet, Sloane Street]
-
A.
Wardour Street
Wardour Street is a well-known street in London’s Soho district, historically associated with the film industry, music venues, and vibrant nightlife.
-
B.
Shaftesbury Avenue
Shaftesbury Avenue is a major road in London's West End, renowned as a central hub of the city's theatre district and entertainment scene.
-
C.
Curzon Street
Curzon Street is a prestigious street in London’s Mayfair district, known for its historic architecture, embassies, and exclusive residences.
-
D.
Harley Street
Harley Street is a central London street renowned for its high concentration of private medical and healthcare practices.
-
E.
Regent Street
Regent Street is a major shopping and commercial thoroughfare in London’s West End, renowned for its elegant architecture and flagship retail stores.
- 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: Sloane Street Triple: [Chelsea, London, England, hasStreet, Sloane Street]
Generated description
Sloane Street is an affluent shopping street in London renowned for its luxury fashion boutiques and high-end retailers.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sloane Street Target entity description: Sloane Street is an affluent shopping street in London renowned for its luxury fashion boutiques and high-end retailers.
-
A.
Wardour Street
Wardour Street is a well-known street in London’s Soho district, historically associated with the film industry, music venues, and vibrant nightlife.
-
B.
Shaftesbury Avenue
Shaftesbury Avenue is a major road in London's West End, renowned as a central hub of the city's theatre district and entertainment scene.
-
C.
Curzon Street
Curzon Street is a prestigious street in London’s Mayfair district, known for its historic architecture, embassies, and exclusive residences.
-
D.
Harley Street
Harley Street is a central London street renowned for its high concentration of private medical and healthcare practices.
-
E.
Regent Street
Regent Street is a major shopping and commercial thoroughfare in London’s West End, renowned for its elegant architecture and flagship retail stores.
- 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_69ad8b16c3488190b47b6aa7a59a335b |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad99e12c5c8190af7cc20e4c48bf45 |
completed | March 8, 2026, 3:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b503d3f19c819088061d3c68757957 |
completed | March 14, 2026, 6:44 a.m. |
| NEDg | Description generation | batch_69b50523dbb08190b1fd089092c1b2a6 |
completed | March 14, 2026, 6:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b50594e4888190b2db45eee2a988a7 |
completed | March 14, 2026, 6:52 a.m. |
Created at: March 8, 2026, 2:59 p.m.