Triple
T3012162
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cranford |
E82247
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object |
Southall
Southall is a suburban district in West London, England, known for its large South Asian community and vibrant multicultural atmosphere.
|
E403076
|
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: Southall | Statement: [Cranford, near, Southall]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Southall Context triple: [Cranford, near, Southall]
-
A.
Harlesden
Harlesden is a residential district in northwest London known for its diverse community and strong Caribbean and Brazilian cultural influences.
-
B.
Hammersmith
Hammersmith is a district in West London known as a major commercial and transport hub along the River Thames.
-
C.
Brixton
Brixton is a vibrant district in south London known for its multicultural community, lively markets, music scene, and significant role in Black British culture.
-
D.
Peckham
Peckham is a vibrant, multicultural district in south London known for its lively arts scene, markets, and diverse community.
-
E.
Islington
Islington is a vibrant inner London borough in England known for its dense urban character, cultural venues, and strong football heritage.
- 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: Southall Triple: [Cranford, near, Southall]
Generated description
Southall is a suburban district in West London, England, known for its large South Asian community and vibrant multicultural atmosphere.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Southall Target entity description: Southall is a suburban district in West London, England, known for its large South Asian community and vibrant multicultural atmosphere.
-
A.
Harlesden
Harlesden is a residential district in northwest London known for its diverse community and strong Caribbean and Brazilian cultural influences.
-
B.
Hammersmith
Hammersmith is a district in West London known as a major commercial and transport hub along the River Thames.
-
C.
Brixton
Brixton is a vibrant district in south London known for its multicultural community, lively markets, music scene, and significant role in Black British culture.
-
D.
Peckham
Peckham is a vibrant, multicultural district in south London known for its lively arts scene, markets, and diverse community.
-
E.
Islington
Islington is a vibrant inner London borough in England known for its dense urban character, cultural venues, and strong football heritage.
- 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_69ad8b1eb53481908c39bbcd1ec104b2 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9a66c334819082d1d320c48eca1b |
completed | March 8, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b53fccf644819082334b566f23c20a |
completed | March 14, 2026, 11 a.m. |
| NEDg | Description generation | batch_69b54073ab1c8190a80adb7754fdcc58 |
completed | March 14, 2026, 11:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5412810748190905e09b773541eaa |
completed | March 14, 2026, 11:06 a.m. |
Created at: March 8, 2026, 3 p.m.