Triple
T14456473
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sandy, Bedfordshire |
E358471
|
entity |
| Predicate | hasLocalGovernmentWard |
P14475
|
FINISHED |
| Object |
Sandy ward
Sandy ward is an electoral division in the town of Sandy, Bedfordshire, represented on the local council for administrative and political purposes.
|
E1100738
|
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: Sandy ward | Statement: [Sandy, Bedfordshire, hasLocalGovernmentWard, Sandy ward]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sandy ward Context triple: [Sandy, Bedfordshire, hasLocalGovernmentWard, Sandy ward]
-
A.
Sandy Woodward
Sandy Woodward was a British Royal Navy admiral best known for commanding the UK task force during the 1982 Falklands War.
-
B.
Victoria Ward
Victoria Ward was a British actress best known for her stage and screen work and for her long marriage to actor Alan Bates.
-
C.
Robin Ward
Robin Ward is a Canadian actor and television host best known for his leading role in the 1970s science fiction series "The Starlost."
-
D.
Silvia Ward
Silvia Ward is known as the spouse of American actor Fred Ward.
-
E.
Dolly Wells
Dolly Wells is a British actress, writer, and director known for her work in television comedies such as "Doll & Em" and "Blunt Talk," as well as various film and stage roles.
- 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: Sandy ward Triple: [Sandy, Bedfordshire, hasLocalGovernmentWard, Sandy ward]
Generated description
Sandy ward is an electoral division in the town of Sandy, Bedfordshire, represented on the local council for administrative and political purposes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sandy ward Target entity description: Sandy ward is an electoral division in the town of Sandy, Bedfordshire, represented on the local council for administrative and political purposes.
-
A.
Sandy Woodward
Sandy Woodward was a British Royal Navy admiral best known for commanding the UK task force during the 1982 Falklands War.
-
B.
Victoria Ward
Victoria Ward was a British actress best known for her stage and screen work and for her long marriage to actor Alan Bates.
-
C.
Robin Ward
Robin Ward is a Canadian actor and television host best known for his leading role in the 1970s science fiction series "The Starlost."
-
D.
Silvia Ward
Silvia Ward is known as the spouse of American actor Fred Ward.
-
E.
Dolly Wells
Dolly Wells is a British actress, writer, and director known for her work in television comedies such as "Doll & Em" and "Blunt Talk," as well as various film and stage roles.
- 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_69d82794dfa081909b9134ad2e32244b |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de91a9c0d48190ae015e5e0db806ca |
completed | April 14, 2026, 7:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd649177108190be32af72dcae04ee |
completed | May 8, 2026, 4:20 a.m. |
| NEDg | Description generation | batch_69fd664347c48190a411141398794b88 |
completed | May 8, 2026, 4:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd66e5d6b08190ad94a6a5f1809c2a |
completed | May 8, 2026, 4:30 a.m. |
Created at: April 10, 2026, 1:19 a.m.