Triple
T2654335
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chelmsford |
E53972
|
entity |
| Predicate | hasShoppingCentre |
P4285
|
FINISHED |
| Object |
High Chelmer
High Chelmer is a major shopping centre in Chelmsford, England, featuring a wide range of retail stores and services.
|
E286815
|
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: High Chelmer | Statement: [Chelmsford, hasShoppingCentre, High Chelmer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: High Chelmer Context triple: [Chelmsford, hasShoppingCentre, High Chelmer]
-
A.
Brenchley
Brenchley is a rural village in Kent, England, known for its historic buildings and picturesque countryside setting.
-
B.
Clisham
Clisham is the highest mountain on the Isle of Harris in Scotland’s Outer Hebrides, known for its rugged terrain and panoramic coastal views.
-
C.
Chineham
Chineham is a suburban residential and commercial area on the outskirts of Basingstoke in Hampshire, England.
-
D.
Haslemere
Haslemere is a historic market town in the southwest of Surrey, England, near the borders with Hampshire and West Sussex.
-
E.
Paddock Wood
Paddock Wood is a small town in Kent, England, known for its agricultural history and role as a local transport and commercial 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: High Chelmer Triple: [Chelmsford, hasShoppingCentre, High Chelmer]
Generated description
High Chelmer is a major shopping centre in Chelmsford, England, featuring a wide range of retail stores and services.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: High Chelmer Target entity description: High Chelmer is a major shopping centre in Chelmsford, England, featuring a wide range of retail stores and services.
-
A.
Brenchley
Brenchley is a rural village in Kent, England, known for its historic buildings and picturesque countryside setting.
-
B.
Clisham
Clisham is the highest mountain on the Isle of Harris in Scotland’s Outer Hebrides, known for its rugged terrain and panoramic coastal views.
-
C.
Chineham
Chineham is a suburban residential and commercial area on the outskirts of Basingstoke in Hampshire, England.
-
D.
Haslemere
Haslemere is a historic market town in the southwest of Surrey, England, near the borders with Hampshire and West Sussex.
-
E.
Paddock Wood
Paddock Wood is a small town in Kent, England, known for its agricultural history and role as a local transport and commercial 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_69ab495e192081909c77b622e8e7e15a |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd932a35881909568839589f12062 |
completed | March 7, 2026, 7:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af98d0dbd08190a317dfe1844840c5 |
completed | March 10, 2026, 4:06 a.m. |
| NEDg | Description generation | batch_69af9a41c69c8190b99bcad7098e68fe |
completed | March 10, 2026, 4:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69af9aaeedcc8190901da0fe37e7801d |
completed | March 10, 2026, 4:14 a.m. |
Created at: March 6, 2026, 9:53 p.m.