Triple
T15894555
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elizabeth Cranfield |
E385418
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Cranfield |
E517297
|
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: Cranfield | Statement: [Elizabeth Cranfield, familyName, Cranfield]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cranfield Context triple: [Elizabeth Cranfield, familyName, Cranfield]
-
A.
Cranfield
chosen
Cranfield is a village in Bedfordshire, England, best known for hosting Cranfield University and its associated aerospace and technology facilities.
-
B.
Cranfield Berkeley
Cranfield Berkeley was an 18th-century British politician and member of the aristocratic Berkeley family who served in the House of Commons.
-
C.
Brackley
Brackley is a historic market town in southern Northamptonshire, England, known for its medieval origins and proximity to the Silverstone motor racing circuit.
-
D.
Keele
Keele is a village in Staffordshire, England, best known as the home of Keele University and its extensive rural campus.
-
E.
Arborfield
Arborfield is a village in Berkshire, England, known for its rural setting near the River Loddon and its historic association with former military and agricultural research sites.
- 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_69d86da5b800819083a31be937d738b0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1563809748190a54156b946d3f061 |
completed | April 16, 2026, 9:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb04b55ec8190a5b3513b2afa4f83 |
completed | May 9, 2026, 10:08 p.m. |
Created at: April 10, 2026, 4:51 a.m.