Triple
T4140502
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Freeland |
E89259
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Eynsham |
E112672
|
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: Eynsham | Statement: [Freeland, locatedNear, Eynsham]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eynsham Context triple: [Freeland, locatedNear, Eynsham]
-
A.
Eynsham
chosen
Eynsham is a historic village in Oxfordshire, England, known for its medieval abbey remains and its location near the River Thames between Oxford and Witney.
-
B.
Pangbourne
Pangbourne is a picturesque village on the River Thames in Berkshire, England, known for its literary associations and scenic rural charm.
-
C.
Shrivenham
Shrivenham is a village in Oxfordshire, England, known for its historic high street, rural setting, and association with nearby military and academic institutions.
-
D.
Ilchester
Ilchester is a historic village and former Roman town in Somerset, England, known for its strategic location and long-standing military and transport connections.
-
E.
Great Tew
Great Tew is a picturesque historic village in Oxfordshire, England, noted for its honey-colored stone cottages and traditional rural character.
- 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_69aed95785788190ae75bcf0cd1cafdf |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af0249dd988190bf6826a744e7771f |
completed | March 9, 2026, 5:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5960b5e2c8190af8ced12974911ef |
completed | March 14, 2026, 5:08 p.m. |
Created at: March 9, 2026, 3:43 p.m.