Triple
T12798125
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chiltern district |
E305941
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Seer Green
Seer Green is a village and civil parish in Buckinghamshire, England, known for its rural character and location within the Chiltern Hills area.
|
E1002839
|
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: Seer Green | Statement: [Chiltern district, containsSettlement, Seer Green]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seer Green Context triple: [Chiltern district, containsSettlement, Seer Green]
-
A.
Goose Green
Goose Green is a settlement on East Falkland in the Falkland Islands, best known as the site of a major land battle during the 1982 Falklands War.
-
B.
Goose Green
Goose Green is a small public park and open green space in the East Dulwich area of south London, popular for recreation and community events.
-
C.
Barracuda Green
Barracuda Green is a specific eco-focused or energy-efficient variant of the Barracuda product line.
-
D.
Greenhead
Greenhead is a small village in Northumberland, England, known for its proximity to Hadrian’s Wall and scenic rural surroundings.
-
E.
Verde
Verde is a popular nickname for Austin FC, Major League Soccer’s Austin-based club known for its bright green branding and vibrant supporter culture.
- 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: Seer Green Triple: [Chiltern district, containsSettlement, Seer Green]
Generated description
Seer Green is a village and civil parish in Buckinghamshire, England, known for its rural character and location within the Chiltern Hills area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Seer Green Target entity description: Seer Green is a village and civil parish in Buckinghamshire, England, known for its rural character and location within the Chiltern Hills area.
-
A.
Goose Green
Goose Green is a settlement on East Falkland in the Falkland Islands, best known as the site of a major land battle during the 1982 Falklands War.
-
B.
Goose Green
Goose Green is a small public park and open green space in the East Dulwich area of south London, popular for recreation and community events.
-
C.
Barracuda Green
Barracuda Green is a specific eco-focused or energy-efficient variant of the Barracuda product line.
-
D.
Greenhead
Greenhead is a small village in Northumberland, England, known for its proximity to Hadrian’s Wall and scenic rural surroundings.
-
E.
Verde
Verde is a popular nickname for Austin FC, Major League Soccer’s Austin-based club known for its bright green branding and vibrant supporter culture.
- 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_69d7bdf366888190a8cccb982606889c |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96e6f858c8190915ede38e9a6a2df |
completed | April 10, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6850f9ae4819094599b48d8d3a074 |
completed | May 2, 2026, 11:13 p.m. |
| NEDg | Description generation | batch_69f685dd1a88819096e40711f10d898a |
completed | May 2, 2026, 11:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f68884ed348190a1b2c89b1d655fa9 |
completed | May 2, 2026, 11:28 p.m. |
Created at: April 9, 2026, 5:30 p.m.