Triple
T20378596
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Juvisiens |
E497757
|
entity |
| Predicate | singularForm |
P7764
|
FINISHED |
| Object | Juvisien |
—
|
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: Juvisien | Statement: [Juvisiens, singularForm, Juvisien]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Juvisien Context triple: [Juvisiens, singularForm, Juvisien]
-
A.
Juvisiens
chosen
Juvisiens are the inhabitants of the French commune of Juvisy-sur-Orge, located in the southern suburbs of Paris.
-
B.
Juvisiennes
Juvisiennes are the female inhabitants or natives of the French commune of Juvisy-sur-Orge, located in the southern suburbs of Paris.
-
C.
Ivisan
Ivisan is a coastal municipality in the province of Capiz in the Western Visayas region of the Philippines.
-
D.
Joucas
Joucas is a small picturesque village in southeastern France’s Vaucluse department, known for its hilltop setting, stone houses, and views over the Luberon countryside.
-
E.
Jovellar
Jovellar is a rural municipality in the province of Albay in the Bicol Region of the Philippines, known for its rivers, caves, and agricultural landscape.
- 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_69e0b4a5b7908190a972e4e7e698ae94 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e678af651c8190b4922294a937e699 |
completed | April 20, 2026, 7:04 p.m. |
Created at: April 16, 2026, 11:27 a.m.