Triple
T1599879
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ribble Valley |
E34366
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Hurst Green
Hurst Green is a small village in Lancashire, England, known for its scenic countryside near the River Ribble and its association with Stonyhurst College.
|
E244050
|
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: Hurst Green | Statement: [Ribble Valley, containsSettlement, Hurst Green]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hurst Green Context triple: [Ribble Valley, containsSettlement, Hurst Green]
-
A.
Esher Green
Esher Green is a historic village green and open space in Esher, Surrey, known for its picturesque setting and local recreational use.
-
B.
Englefield Green
Englefield Green is a village in Surrey, England, known for its proximity to Runnymede and its large common land.
-
C.
Vernon Hill
Vernon Hill was a British sculptor and illustrator known for his expressive architectural and memorial works in the early 20th century.
-
D.
Southfields
Southfields is a residential district in southwest London, England, known for its proximity to Wimbledon and its quiet, suburban character.
-
E.
Herne Hill
Herne Hill is a residential district in South London known for its Victorian architecture, local markets, and proximity to Brockwell Park.
- 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: Hurst Green Triple: [Ribble Valley, containsSettlement, Hurst Green]
Generated description
Hurst Green is a small village in Lancashire, England, known for its scenic countryside near the River Ribble and its association with Stonyhurst College.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hurst Green Target entity description: Hurst Green is a small village in Lancashire, England, known for its scenic countryside near the River Ribble and its association with Stonyhurst College.
-
A.
Esher Green
Esher Green is a historic village green and open space in Esher, Surrey, known for its picturesque setting and local recreational use.
-
B.
Englefield Green
Englefield Green is a village in Surrey, England, known for its proximity to Runnymede and its large common land.
-
C.
Vernon Hill
Vernon Hill was a British sculptor and illustrator known for his expressive architectural and memorial works in the early 20th century.
-
D.
Southfields
Southfields is a residential district in southwest London, England, known for its proximity to Wimbledon and its quiet, suburban character.
-
E.
Herne Hill
Herne Hill is a residential district in South London known for its Victorian architecture, local markets, and proximity to Brockwell Park.
- 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_69a885fdcb9c819081ce6f0b8cd477dd |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a9094a27908190bf0d9b5d43617192 |
completed | March 5, 2026, 4:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae6518e07081909c34a363d7ac0f25 |
completed | March 9, 2026, 6:13 a.m. |
| NEDg | Description generation | batch_69ae65ac14a8819091fa0795c7f99917 |
completed | March 9, 2026, 6:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae66429c208190ae011d7ee001c9ea |
completed | March 9, 2026, 6:18 a.m. |
Created at: March 4, 2026, 7:28 p.m.