Triple
T5996980
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jonathan Raban |
E133495
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | Hempton |
E72396
|
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: Hempton | Statement: [Jonathan Raban, placeOfBirth, Hempton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hempton Context triple: [Jonathan Raban, placeOfBirth, Hempton]
-
A.
Hempton
chosen
Hempton is a small village in Norfolk, England, situated close to the market town of Fakenham.
-
B.
Hartington
Hartington is a village and civil parish in Derbyshire, England, historically associated with the Cavendish family and the title Marquess of Hartington.
-
C.
Burham
Burham is a village in Kent, England, situated near the River Medway and known for its rural character and historic parish church.
-
D.
Stadhampton
Stadhampton is a small rural village in Oxfordshire, England, known for its historic parish church and traditional English countryside setting.
-
E.
Shorthampton
Shorthampton is a small rural village in the West Oxfordshire district of Oxfordshire, England, known for its historic parish church and traditional countryside setting.
- 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_69c00870ddbc81909880fa3864f4f38d |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04e963f3c819082dd755e328ab947 |
completed | March 22, 2026, 8:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c10876d4d0819083ac7431c8abaedd |
completed | March 23, 2026, 9:31 a.m. |
Created at: March 22, 2026, 4:05 p.m.