Triple
T4685118
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bellshill |
E103901
|
entity |
| Predicate | hasNeighbourhood |
P4813
|
FINISHED |
| Object |
Hattonrigg
Hattonrigg is a residential area forming part of the town of Bellshill in North Lanarkshire, Scotland.
|
E464040
|
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: Hattonrigg | Statement: [Bellshill, hasNeighbourhood, Hattonrigg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hattonrigg Context triple: [Bellshill, hasNeighbourhood, Hattonrigg]
-
A.
Hatton
Hatton is a town in Sri Lanka’s hill country known as a gateway to tea plantations and the pilgrimage site of Adam’s Peak.
-
B.
Honington
Honington is a small rural village and civil parish in Suffolk, England, known for its agricultural surroundings and proximity to RAF Honington.
-
C.
Bovingdon
Bovingdon is a large village and civil parish in Hertfordshire, England, known for its historic airfield and proximity to the town of Hemel Hempstead.
-
D.
Harpenden
Harpenden is a commuter town in southern England known for its green spaces and affluent residential character.
-
E.
Harnham
Harnham is a suburb of Salisbury in Wiltshire, England, known for its historic buildings and scenic riverside setting near Salisbury Cathedral.
- 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: Hattonrigg Triple: [Bellshill, hasNeighbourhood, Hattonrigg]
Generated description
Hattonrigg is a residential area forming part of the town of Bellshill in North Lanarkshire, Scotland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hattonrigg Target entity description: Hattonrigg is a residential area forming part of the town of Bellshill in North Lanarkshire, Scotland.
-
A.
Hatton
Hatton is a town in Sri Lanka’s hill country known as a gateway to tea plantations and the pilgrimage site of Adam’s Peak.
-
B.
Honington
Honington is a small rural village and civil parish in Suffolk, England, known for its agricultural surroundings and proximity to RAF Honington.
-
C.
Bovingdon
Bovingdon is a large village and civil parish in Hertfordshire, England, known for its historic airfield and proximity to the town of Hemel Hempstead.
-
D.
Harpenden
Harpenden is a commuter town in southern England known for its green spaces and affluent residential character.
-
E.
Harnham
Harnham is a suburb of Salisbury in Wiltshire, England, known for its historic buildings and scenic riverside setting near Salisbury Cathedral.
- 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_69bd43debbf08190b4bc372e286ec234 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd63829b048190a2044de900ef7a69 |
completed | March 20, 2026, 3:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be1056abf081908aadaea8d9f22860 |
completed | March 21, 2026, 3:28 a.m. |
| NEDg | Description generation | batch_69be10fc6b1481909f6184e32cbd61a6 |
completed | March 21, 2026, 3:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be11691c448190ab09b3d055c1a1a8 |
completed | March 21, 2026, 3:32 a.m. |
Created at: March 20, 2026, 1:16 p.m.