Triple
T20059890
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Swan Inn |
E499440
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Swinbrook |
—
|
NE NERFINISHED |
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: Swinbrook | Statement: [The Swan Inn, locatedIn, Swinbrook]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Swinbrook Context triple: [The Swan Inn, locatedIn, Swinbrook]
-
A.
Swinbrook
chosen
Swinbrook is a small, picturesque village in rural Oxfordshire, England, known for its traditional stone cottages and historic church.
-
B.
Opherdicke
Opherdicke is a village in North Rhine-Westphalia, Germany, known for its historic moated castle Haus Opherdicke and its rural setting within the municipality of Holzwickede.
-
C.
Winterley
Winterley is a small village in Cheshire, England, situated within the civil parish of Haslington.
-
D.
Otterbourne
Otterbourne is a village in Hampshire, England, situated near Winchester and known for its rural character and historic parish church.
-
E.
Standlake
Standlake is a rural village in Oxfordshire, England, known for its historic parish church and location near the River Thames.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da6276bcf48190aabbf279192a5fb4 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66374f4a48190beb575a6c84ebdb4 |
completed | April 20, 2026, 5:33 p.m. |
Created at: April 11, 2026, 3:38 p.m.