Triple
T21299359
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Geoffrey VI of Anjou |
E525013
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object | Count of Nantes |
—
|
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: Count of Nantes | Statement: [Geoffrey VI of Anjou, title, Count of Nantes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Count of Nantes Context triple: [Geoffrey VI of Anjou, title, Count of Nantes]
-
A.
Count of Nantes
chosen
The Count of Nantes was a medieval noble title associated with the rulers of the historic county and city of Nantes in western France.
-
B.
Count of Rouen
The Count of Rouen was the early medieval noble title held by Rollo as ruler of the region around Rouen, a precursor to his later role as the first Duke of Normandy.
-
C.
City of Toulon
The City of Toulon is a coastal municipality in southern France on the Mediterranean, known for its major naval base, maritime heritage, and cultural institutions.
-
D.
Lagrenée
Lagrenée is a French surname most notably associated with the 18th-century painter Louis Lagrenée.
-
E.
Saint-Henri
Saint-Henri is a historic, traditionally working-class neighborhood in Montreal known for its industrial heritage, canalside location, and ongoing gentrification.
- 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_69e0b517e6748190850d6f6ddf323d69 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7385b1c548190b940ded0163ee3ca |
completed | April 21, 2026, 8:42 a.m. |
Created at: April 16, 2026, 4:05 p.m.