Triple
T12523088
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maldon District |
E299366
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Asheldham
Asheldham is a small rural village and civil parish in the Maldon District of Essex, England.
|
E986635
|
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: Asheldham | Statement: [Maldon District, contains, Asheldham]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Asheldham Context triple: [Maldon District, contains, Asheldham]
-
A.
Anglebury
Anglebury is a fictional town in Thomas Hardy’s Wessex, modeled on the real town of Wareham in Dorset, England.
-
B.
Aherlow
Aherlow is a scenic village in County Tipperary, Ireland, best known for its location in the picturesque Glen of Aherlow between the Galtee Mountains and the Slievenamuck Hills.
-
C.
Laxfield
Laxfield is a historic rural village and civil parish in the English county of Suffolk, known for its traditional architecture and agricultural surroundings.
-
D.
Yattendon
Yattendon is a small village and civil parish in Berkshire, England, known for its rural character and historic buildings.
-
E.
Ashburnham
Ashburnham is a small New England town in northern Massachusetts known for its rural character, lakes, and historic village center.
- 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: Asheldham Triple: [Maldon District, contains, Asheldham]
Generated description
Asheldham is a small rural village and civil parish in the Maldon District of Essex, England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Asheldham Target entity description: Asheldham is a small rural village and civil parish in the Maldon District of Essex, England.
-
A.
Anglebury
Anglebury is a fictional town in Thomas Hardy’s Wessex, modeled on the real town of Wareham in Dorset, England.
-
B.
Aherlow
Aherlow is a scenic village in County Tipperary, Ireland, best known for its location in the picturesque Glen of Aherlow between the Galtee Mountains and the Slievenamuck Hills.
-
C.
Laxfield
Laxfield is a historic rural village and civil parish in the English county of Suffolk, known for its traditional architecture and agricultural surroundings.
-
D.
Yattendon
Yattendon is a small village and civil parish in Berkshire, England, known for its rural character and historic buildings.
-
E.
Ashburnham
Ashburnham is a small New England town in northern Massachusetts known for its rural character, lakes, and historic village center.
- 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_69d6ada5cdd48190860d9ce30aff69be |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d9545c2aa081908e8a5a94d30e23eb |
completed | April 10, 2026, 7:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f64bc159c88190835fea5c0d9ee799 |
completed | May 2, 2026, 7:08 p.m. |
| NEDg | Description generation | batch_69f64def9a6081908c3048f948829051 |
completed | May 2, 2026, 7:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f64ea1719c8190b91ffaab60db25ad |
completed | May 2, 2026, 7:21 p.m. |
Created at: April 8, 2026, 9:57 p.m.