Triple
T21032091
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Parlement of Bordeaux |
E518088
|
entity |
| Predicate | hasJurisdictionOver |
P808
|
FINISHED |
| Object | Aunis |
—
|
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: Aunis | Statement: [Parlement of Bordeaux, hasJurisdictionOver, Aunis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aunis Context triple: [Parlement of Bordeaux, hasJurisdictionOver, Aunis]
-
A.
Aunis
chosen
Aunis was a historic coastal province in western France centered around the port city of La Rochelle.
-
B.
Barbaroux
Barbaroux is a French surname most notably associated with Charles Barbaroux, a prominent figure of the French Revolution.
-
C.
Ka D’Argo
Ka D’Argo is a fierce Luxan warrior and key member of the fugitive crew in the science fiction television series Farscape.
-
D.
Meca
Meca is a civil parish located in the municipality of Alenquer in Portugal, known for its rural character and traditional Portuguese landscape.
-
E.
Rouvier
Rouvier is a French surname most notably associated with Maurice Rouvier, a prominent statesman who served as Prime Minister of France in the early 20th century.
- 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_69e0b503275c8190afd9a163f997c709 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc82b5348190b449d59e6cada9de |
completed | April 21, 2026, 4:26 a.m. |
Created at: April 16, 2026, 1:55 p.m.