Triple
T17602227
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St George’s Church, Kencot |
E428729
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Kencot |
—
|
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: Kencot | Statement: [St George’s Church, Kencot, locatedIn, Kencot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kencot Context triple: [St George’s Church, Kencot, locatedIn, Kencot]
-
A.
Kencot
chosen
Kencot is a small rural village in Oxfordshire, England, known for its historic stone cottages and traditional Cotswold character.
-
B.
Cinkota
Cinkota is a suburban neighborhood in the 16th district of Budapest, known for its residential character and village-like atmosphere on the city’s eastern outskirts.
-
C.
Kokonor
Kokonor is the Mongolian name for Qinghai Lake, a large saline lake on the northeastern Tibetan Plateau in China.
-
D.
Kertosono
Kertosono is a town in East Java, Indonesia, known as a regional transport hub linking major cities and routes across the province.
-
E.
Kandau
Kandau is a town in present-day Latvia historically known as the birthplace of the German experimental psychologist Oswald Külpe.
- 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_69d889e1c6148190ba76241e74688f8b |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46c49dbe081909bd39879c70fe27c |
completed | April 19, 2026, 5:46 a.m. |
Created at: April 10, 2026, 5:51 a.m.