Triple
T317382
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | East of England |
E7736
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Chelmsford
Chelmsford is a historic cathedral city in Essex, England, known as a major commercial and administrative center and for being one of the UK's newest cities, granted status in 2012.
|
E53972
|
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: Chelmsford | Statement: [East of England, contains, Chelmsford]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chelmsford Context triple: [East of England, contains, Chelmsford]
-
A.
Ipswich
Ipswich is a historic town and port in Suffolk, England, known as one of the country’s oldest continuously inhabited settlements.
-
B.
Haverhill
Haverhill is a historic city in northeastern Massachusetts that functions as a suburban community within the Greater Boston metropolitan area.
-
C.
Colchester
Colchester is a historic town in Essex, England, often cited as Britain’s oldest recorded town and known for its Roman heritage and medieval landmarks.
-
D.
Farnham
Farnham is a historic market town in southern England known for its Georgian streets, medieval castle, and surrounding Surrey countryside.
-
E.
Hertford
Hertford is a historic market town and the county town of Hertfordshire in southern England.
- 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: Chelmsford Triple: [East of England, contains, Chelmsford]
Generated description
Chelmsford is a historic cathedral city in Essex, England, known as a major commercial and administrative center and for being one of the UK's newest cities, granted status in 2012.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chelmsford Target entity description: Chelmsford is a historic cathedral city in Essex, England, known as a major commercial and administrative center and for being one of the UK's newest cities, granted status in 2012.
-
A.
Ipswich
Ipswich is a historic town and port in Suffolk, England, known as one of the country’s oldest continuously inhabited settlements.
-
B.
Haverhill
Haverhill is a historic city in northeastern Massachusetts that functions as a suburban community within the Greater Boston metropolitan area.
-
C.
Colchester
Colchester is a historic town in Essex, England, often cited as Britain’s oldest recorded town and known for its Roman heritage and medieval landmarks.
-
D.
Farnham
Farnham is a historic market town in southern England known for its Georgian streets, medieval castle, and surrounding Surrey countryside.
-
E.
Hertford
Hertford is a historic market town and the county town of Hertfordshire in southern England.
- 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_69a2e7e7af7881908890039d6be4e9b8 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ea65ca7081908093e6aaaf2d34f7 |
completed | Feb. 28, 2026, 1:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a42f5eac748190aab0861ddbb947f5 |
completed | March 1, 2026, 12:21 p.m. |
| NEDg | Description generation | batch_69a42ff73ad481909fc6b0e60573dadb |
completed | March 1, 2026, 12:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a430a01b9c8190aac53ab518f31784 |
completed | March 1, 2026, 12:27 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.