Triple
T13421183
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Juss. |
E313361
|
entity |
| Predicate | distinguishedFrom |
P1612
|
FINISHED |
| Object | J.-Juss. |
E313361
|
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: J.-Juss. | Statement: [Juss., distinguishedFrom, J.-Juss.]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: J.-Juss. Context triple: [Juss., distinguishedFrom, J.-Juss.]
-
A.
Juss.
chosen
Juss. is the standard botanical author abbreviation used to cite the works of French botanist Antoine Laurent de Jussieu in plant nomenclature.
-
B.
JJP
JJP is the ICAO airline designator used to identify Jetstar Japan in international aviation operations.
-
C.
Jussy
Jussy is a rural municipality in western Switzerland known for its vineyards and countryside within the canton of Geneva.
-
D.
Jupp
Jupp is the widely used nickname of Jupp Heynckes, a renowned German football manager and former player.
-
E.
J.
J. is the middle initial of John J. Pershing, the prominent American general who led the American Expeditionary Forces in World War I.
- 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_69d806ad0c44819088833ae1ec9e9690 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaeb98e808190948013e8f24779c6 |
completed | April 12, 2026, 2:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7308493e481909da52f8bbcc0bd6b |
completed | May 3, 2026, 11:24 a.m. |
Created at: April 9, 2026, 9:39 p.m.