Triple
T11283966
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BR postcode area |
E267136
|
entity |
| Predicate | coversTown |
P847
|
FINISHED |
| Object |
Leaves Green
Leaves Green is a small village on the outskirts of Greater London, England, situated near Biggin Hill and within the BR postcode area.
|
E915377
|
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: Leaves Green | Statement: [BR postcode area, coversTown, Leaves Green]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leaves Green Context triple: [BR postcode area, coversTown, Leaves Green]
-
A.
Udny Green
Udny Green is a small rural village in Aberdeenshire, Scotland, known for its traditional village green and historic parish church.
-
B.
West Green
West Green is a residential neighborhood in the London district of Tottenham, known for its diverse community and urban character.
-
C.
West Green
West Green is a residential neighbourhood within the town of Crawley in West Sussex, England.
-
D.
Greenhead
Greenhead is a small village in Northumberland, England, known for its proximity to Hadrian’s Wall and scenic rural surroundings.
-
E.
Talbot Green
Talbot Green is a retail and commercial village in Rhondda Cynon Taf, South Wales, known for its shopping centre and role as a local economic hub.
- 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: Leaves Green Triple: [BR postcode area, coversTown, Leaves Green]
Generated description
Leaves Green is a small village on the outskirts of Greater London, England, situated near Biggin Hill and within the BR postcode area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Leaves Green Target entity description: Leaves Green is a small village on the outskirts of Greater London, England, situated near Biggin Hill and within the BR postcode area.
-
A.
Udny Green
Udny Green is a small rural village in Aberdeenshire, Scotland, known for its traditional village green and historic parish church.
-
B.
West Green
West Green is a residential neighborhood in the London district of Tottenham, known for its diverse community and urban character.
-
C.
West Green
West Green is a residential neighbourhood within the town of Crawley in West Sussex, England.
-
D.
Greenhead
Greenhead is a small village in Northumberland, England, known for its proximity to Hadrian’s Wall and scenic rural surroundings.
-
E.
Talbot Green
Talbot Green is a retail and commercial village in Rhondda Cynon Taf, South Wales, known for its shopping centre and role as a local economic hub.
- 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_69d6aac8c2f48190ad0596f1f89f0470 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9855e8881909bd301718cbd8ca1 |
completed | April 9, 2026, 6:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4f471490081909036362c58e1e727 |
completed | April 19, 2026, 3:27 p.m. |
| NEDg | Description generation | batch_69e4f95be4b08190bebb2078406cb7ba |
completed | April 19, 2026, 3:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e4ff6b7d248190b4dd885280e09a8e |
completed | April 19, 2026, 4:14 p.m. |
Created at: April 8, 2026, 9:31 p.m.