Triple
T3985806
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hendon |
E86868
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object |
Brent Cross
Brent Cross is a district in northwest London best known for its large shopping centre and major road junction.
|
E404949
|
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: Brent Cross | Statement: [Hendon, near, Brent Cross]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brent Cross Context triple: [Hendon, near, Brent Cross]
-
A.
Waltham Cross
Waltham Cross is a town in southeastern England known for its historic Eleanor Cross and its location near the Greater London boundary.
-
B.
Leyland Cross
Leyland Cross is a historic stone market cross and local landmark located in the town of Leyland, Lancashire, England.
-
C.
Brent and Harrow
Brent and Harrow is a London Assembly constituency in northwest London that covers the boroughs of Brent and Harrow and elects a representative to the London Assembly.
-
D.
Croxley Green
Croxley Green is a large village and residential suburb near Watford in southern England, known for its green spaces and commuter links to London.
-
E.
Southfields
Southfields is a residential district in southwest London, England, known for its proximity to Wimbledon and its quiet, suburban character.
- 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: Brent Cross Triple: [Hendon, near, Brent Cross]
Generated description
Brent Cross is a district in northwest London best known for its large shopping centre and major road junction.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Brent Cross Target entity description: Brent Cross is a district in northwest London best known for its large shopping centre and major road junction.
-
A.
Waltham Cross
Waltham Cross is a town in southeastern England known for its historic Eleanor Cross and its location near the Greater London boundary.
-
B.
Leyland Cross
Leyland Cross is a historic stone market cross and local landmark located in the town of Leyland, Lancashire, England.
-
C.
Brent and Harrow
Brent and Harrow is a London Assembly constituency in northwest London that covers the boroughs of Brent and Harrow and elects a representative to the London Assembly.
-
D.
Croxley Green
Croxley Green is a large village and residential suburb near Watford in southern England, known for its green spaces and commuter links to London.
-
E.
Southfields
Southfields is a residential district in southwest London, England, known for its proximity to Wimbledon and its quiet, suburban character.
- 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_69aed93fd9d4819085d3b2137d2346cb |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef9dfaf28819081b547836d79b889 |
completed | March 9, 2026, 4:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5402bbe208190947321353c309c98 |
completed | March 14, 2026, 11:02 a.m. |
| NEDg | Description generation | batch_69b54126234c8190990cf6df84a83e92 |
completed | March 14, 2026, 11:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5458d736481908ca826fa4fd01b8c |
completed | March 14, 2026, 11:25 a.m. |
Created at: March 9, 2026, 3:33 p.m.