Triple
T6081560
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cuddington Primary School |
E135533
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Cuddington |
E135533
|
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: Cuddington | Statement: [Cuddington Primary School, locatedIn, Cuddington]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cuddington Context triple: [Cuddington Primary School, locatedIn, Cuddington]
-
A.
Cuddington
chosen
Cuddington is a village in Cheshire, England, served by a station on the Manchester–Chester railway line.
-
B.
Gravenhurst
Gravenhurst is a small town in Ontario, Canada, known as a gateway to the Muskoka cottage country and its scenic lakeside tourism.
-
C.
Boyne City
Boyne City is a small lakeside community in northern Michigan known for its recreational access to Lake Charlevoix and nearby ski resorts.
-
D.
Mapleville
Mapleville is a small village and census-designated place located within the town of Burrillville in northern Rhode Island.
-
E.
Yatesville
Yatesville is a small town located in the U.S. state of Georgia.
- 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_69c0087ad31c8190ab936e0ff28614b6 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05774bc948190a446b27e83f7079b |
completed | March 22, 2026, 8:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c14153e95081909e0d77cb48733561 |
completed | March 23, 2026, 1:34 p.m. |
Created at: March 22, 2026, 4:11 p.m.