Triple
T11379648
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oxford Circus |
E269559
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object |
Mayfair
Mayfair is an affluent central London district known for its luxury shops, exclusive residences, and prestigious hotels and restaurants.
|
E922340
|
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: Mayfair | Statement: [Oxford Circus, near, Mayfair]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mayfair Context triple: [Oxford Circus, near, Mayfair]
-
A.
Mayfair
Mayfair is a residential neighborhood located within the city of Homewood, Alabama.
-
B.
Knightsbridge
Knightsbridge is an affluent central London district renowned for its luxury shopping, upscale residences, and proximity to Hyde Park.
-
C.
Mayfair neighborhood
The Mayfair neighborhood is a predominantly residential area in Northeast Philadelphia known for its rowhomes, strong community identity, and commercial corridor along Frankford Avenue.
-
D.
Belgravia
Belgravia is an affluent, predominantly residential district in central London known for its grand terraces, garden squares, and embassies.
-
E.
Mayfair Park
Mayfair Park is a public recreational park in Lakewood, California, featuring open green spaces, sports facilities, and community amenities for local residents.
- 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: Mayfair Triple: [Oxford Circus, near, Mayfair]
Generated description
Mayfair is an affluent central London district known for its luxury shops, exclusive residences, and prestigious hotels and restaurants.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mayfair Target entity description: Mayfair is an affluent central London district known for its luxury shops, exclusive residences, and prestigious hotels and restaurants.
-
A.
Mayfair
Mayfair is a residential neighborhood located within the city of Homewood, Alabama.
-
B.
Knightsbridge
Knightsbridge is an affluent central London district renowned for its luxury shopping, upscale residences, and proximity to Hyde Park.
-
C.
Mayfair neighborhood
The Mayfair neighborhood is a predominantly residential area in Northeast Philadelphia known for its rowhomes, strong community identity, and commercial corridor along Frankford Avenue.
-
D.
Belgravia
Belgravia is an affluent, predominantly residential district in central London known for its grand terraces, garden squares, and embassies.
-
E.
Mayfair Park
Mayfair Park is a public recreational park in Lakewood, California, featuring open green spaces, sports facilities, and community amenities for local residents.
- 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_69d6aacca1048190b39dbbc2174616fa |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7fc30f5d48190bb273df4c9e583a9 |
completed | April 9, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e556a10f988190b173dc4880a8c6c6 |
completed | April 19, 2026, 10:26 p.m. |
| NEDg | Description generation | batch_69e562c8fb948190be87cca65c3b74e1 |
completed | April 19, 2026, 11:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e56aaa5c9081909f89cfe6a8fc03f0 |
completed | April 19, 2026, 11:52 p.m. |
Created at: April 8, 2026, 9:34 p.m.