Triple
T10568480
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Girton |
E249413
|
entity |
| Predicate | hasBusServiceTo |
P3791
|
FINISHED |
| Object | Cambourne |
E206526
|
NE FINISHED |
How this triple was built (2 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: Cambourne | Statement: [Girton, hasBusServiceTo, Cambourne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cambourne Context triple: [Girton, hasBusServiceTo, Cambourne]
-
A.
Cambourne
chosen
Cambourne is a modern, rapidly growing new town in Cambridgeshire, England, developed in the late 20th century and known for its planned residential communities and local amenities.
-
B.
Crowcombe
Crowcombe is a small historic village in Somerset, England, situated within the scenic Quantock Hills Area of Outstanding Natural Beauty.
-
C.
Ruscombe
Ruscombe is a village in Berkshire, England, historically notable as the place where Quaker leader and Pennsylvania founder William Penn spent his final years and died.
-
D.
Banwell
Banwell is a village and civil parish in North Somerset, England, known for its historic caves and medieval architecture.
-
E.
Woodcombe
Woodcombe is a residential area on the outskirts of Minehead in Somerset, England, known for its proximity to Exmoor National Park and coastal walking routes.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d381c8bd708190acf3d275c908251e |
completed | April 6, 2026, 9:50 a.m. |
| NER | Named-entity recognition | batch_69d5272ff53c8190ae7c399d49b585f5 |
completed | April 7, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d94b4c26ec8190910efdf4a236d654 |
completed | April 10, 2026, 7:11 p.m. |
Created at: April 6, 2026, 12:37 p.m.