Triple
T18977092
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grande Cascade de Mortain |
E464322
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Mortain town centre |
—
|
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: Mortain town centre | Statement: [Grande Cascade de Mortain, near, Mortain town centre]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mortain town centre Context triple: [Grande Cascade de Mortain, near, Mortain town centre]
-
A.
Mortain
chosen
Mortain is a town in Normandy, France, known as the focal point of a major German counteroffensive during the Battle of Normandy in World War II.
-
B.
Clairmont
Clairmont is a small community in northwestern Alberta, Canada, situated just north of the city of Grande Prairie.
-
C.
Clairmont
Clairmont is the surname of Claire Clairmont, the English writer and stepsister of Mary Shelley who was closely associated with the Romantic literary circle.
-
D.
Courtown
Courtown is a coastal village and popular seaside resort in County Wexford, Ireland, known for its beach, harbour, and nearby forest park.
-
E.
Radmor
Radmor is a Polish defense company known for developing and manufacturing military communication and radio systems.
- 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_69d8dd008af48190a97ff1c6488edf1b |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d620bba48190a300dba9733592b0 |
completed | April 20, 2026, 7:30 a.m. |
Created at: April 10, 2026, noon