Triple
T20719986
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Béralde |
E509284
|
entity |
| Predicate | hasRelative |
P367
|
FINISHED |
| Object | Argan |
—
|
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: Argan | Statement: [Béralde, hasRelative, Argan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Argan Context triple: [Béralde, hasRelative, Argan]
-
A.
Argan
chosen
Argan is the hypochondriac protagonist of Molière’s comedy "Le Malade imaginaire," whose obsessive fear of illness drives the play’s satire of medicine and society.
-
B.
Arganil
Arganil is a municipality and town in central Portugal known for its mountainous landscapes, river beaches, and traditional schist villages.
-
C.
La Gadoue
La Gadoue is a French song by Serge Gainsbourg, best known in the popular version sung by Jane Birkin that playfully evokes the dreariness of muddy, rainy weather.
-
D.
Kherrata
Kherrata is a town in northeastern Algeria known for being one of the centers of the 1945 anti-colonial unrest that was brutally repressed by French authorities.
-
E.
Kistane
Kistane is an Afroasiatic language of the Highland East Cushitic branch spoken primarily by the Soddo Gurage people in central Ethiopia.
- 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_69e0b4c4cc648190b45fda6e2b20af56 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c1d4de6c81908f8c98c2f1e70cc4 |
completed | April 21, 2026, 12:16 a.m. |
Created at: April 16, 2026, 12:26 p.m.