Triple
T20090402
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bilsdale |
E496251
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Seave Green
Seave Green is a small rural settlement located in the Bilsdale area of North Yorkshire, England.
|
E1412355
|
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: Seave Green | Statement: [Bilsdale, containsSettlement, Seave Green]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seave Green Context triple: [Bilsdale, containsSettlement, Seave Green]
-
A.
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.
-
B.
Meriden Green
Meriden Green is a central urban park and community gathering space in downtown Meriden, Connecticut, featuring open green areas, walking paths, and event venues.
-
C.
Baddeley Green
Baddeley Green is a residential suburb in the city of Stoke-on-Trent, Staffordshire, England.
-
D.
West Green
West Green is a residential neighbourhood within the town of Crawley in West Sussex, England.
-
E.
West Green
West Green is a residential neighborhood in the London district of Tottenham, known for its diverse community and urban 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: Seave Green Triple: [Bilsdale, containsSettlement, Seave Green]
Generated description
Seave Green is a small rural settlement located in the Bilsdale area of North Yorkshire, England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Seave Green Target entity description: Seave Green is a small rural settlement located in the Bilsdale area of North Yorkshire, England.
-
A.
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.
-
B.
Meriden Green
Meriden Green is a central urban park and community gathering space in downtown Meriden, Connecticut, featuring open green areas, walking paths, and event venues.
-
C.
Baddeley Green
Baddeley Green is a residential suburb in the city of Stoke-on-Trent, Staffordshire, England.
-
D.
West Green
West Green is a residential neighbourhood within the town of Crawley in West Sussex, England.
-
E.
West Green
West Green is a residential neighborhood in the London district of Tottenham, known for its diverse community and urban 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_69da626eee3881909f3454986d4a6511 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6655e1ef0819095f40a1ce2eb17b7 |
completed | April 20, 2026, 5:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0827053cb4819080c2e6a6cece0dcd |
completed | May 16, 2026, 8:12 a.m. |
| NEDg | Description generation | batch_6a082b5ad1048190a1a41acf05db77d3 |
completed | May 16, 2026, 8:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a082b866fe08190a32d98620c176edc |
completed | May 16, 2026, 8:32 a.m. |
Created at: April 11, 2026, 11:20 p.m.