Triple
T3544133
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shere |
E74954
|
entity |
| Predicate | river |
P165
|
FINISHED |
| Object | Tillingbourne |
E317941
|
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: Tillingbourne | Statement: [Shere, river, Tillingbourne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tillingbourne Context triple: [Shere, river, Tillingbourne]
-
A.
Tillingbourne valley
chosen
Tillingbourne valley is a scenic river valley in Surrey, England, known for its historic villages, watermills, and picturesque countryside.
-
B.
Pangbourne
Pangbourne is a picturesque village on the River Thames in Berkshire, England, known for its literary associations and scenic rural charm.
-
C.
Tormarton
Tormarton is a small rural village and civil parish in South Gloucestershire, England, near the Cotswolds and close to the M4 motorway.
-
D.
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.
-
E.
Shrivenham
Shrivenham is a village in Oxfordshire, England, known for its historic high street, rural setting, and association with nearby military and academic institutions.
- 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_69ad85d274cc8190ab59c97298a1cfbf |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbf76c5b08190b898d31b80a3a350 |
completed | March 8, 2026, 6:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b38bdfe5748190b2de831635221ce1 |
completed | March 13, 2026, 4 a.m. |
Created at: March 8, 2026, 3:20 p.m.