Triple
T90515
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | London |
E1817
|
entity |
| Predicate | hasIconicArea |
P3895
|
FINISHED |
| Object |
Soho
Soho is a vibrant central London district famed for its nightlife, entertainment venues, and diverse cultural scene.
|
E22316
|
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: Soho | Statement: [London, hasIconicArea, Soho]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Soho Context triple: [London, hasIconicArea, Soho]
-
A.
Kensington
Kensington is a district in West London, England, known for its affluent residential areas, cultural institutions, and royal associations.
-
B.
Southwark
Southwark is a historic district in central London on the south bank of the River Thames, known for landmarks such as Borough Market, The Shard, and Shakespeare’s Globe.
-
C.
Cathedral Quarter
Cathedral Quarter is a historic cultural and arts district in central Belfast known for its cobbled streets, vibrant nightlife, galleries, and festivals.
-
D.
Mayfair, London, England
Mayfair, London, England is an affluent central London district known for its luxury residences, exclusive shops, and prestigious hotels and clubs.
-
E.
Barracks Row
Barracks Row is a historic commercial corridor in Washington, D.C.’s Capitol Hill neighborhood, known for its restaurants, shops, and proximity to the Marine Barracks.
- 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: Soho Triple: [London, hasIconicArea, Soho]
Generated description
Soho is a vibrant central London district famed for its nightlife, entertainment venues, and diverse cultural scene.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Soho Target entity description: Soho is a vibrant central London district famed for its nightlife, entertainment venues, and diverse cultural scene.
-
A.
Kensington
Kensington is a district in West London, England, known for its affluent residential areas, cultural institutions, and royal associations.
-
B.
Southwark
Southwark is a historic district in central London on the south bank of the River Thames, known for landmarks such as Borough Market, The Shard, and Shakespeare’s Globe.
-
C.
Cathedral Quarter
Cathedral Quarter is a historic cultural and arts district in central Belfast known for its cobbled streets, vibrant nightlife, galleries, and festivals.
-
D.
Mayfair, London, England
Mayfair, London, England is an affluent central London district known for its luxury residences, exclusive shops, and prestigious hotels and clubs.
-
E.
Barracks Row
Barracks Row is a historic commercial corridor in Washington, D.C.’s Capitol Hill neighborhood, known for its restaurants, shops, and proximity to the Marine Barracks.
- 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_69a24d1a97dc819094e6c021fe9b05a7 |
completed | Feb. 28, 2026, 2:04 a.m. |
| NER | Named-entity recognition | batch_69a2567dd770819088eb77ffc6d2d1cf |
completed | Feb. 28, 2026, 2:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a2ee865f00819098ea55851216de2d |
completed | Feb. 28, 2026, 1:32 p.m. |
| NEDg | Description generation | batch_69a2ef24de2c8190b93330c76172507b |
completed | Feb. 28, 2026, 1:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a2ef9d85cc8190b585b87c30f58ae1 |
completed | Feb. 28, 2026, 1:37 p.m. |
Created at: Feb. 28, 2026, 2:07 a.m.