Triple
T16442798
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Savenay |
E399345
|
entity |
| Predicate | historicalLanguage |
P7165
|
FINISHED |
| Object | Gallo |
E441261
|
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: Gallo | Statement: [Savenay, historicalLanguage, Gallo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gallo Context triple: [Savenay, historicalLanguage, Gallo]
-
A.
Gallo
chosen
Gallo is a Romance language of eastern Brittany in France, distinct from both French and Breton and traditionally spoken by the region’s rural communities.
-
B.
Gallo
Gallo is an Italian-origin surname borne by numerous individuals worldwide, including figures in arts, sports, and public life.
-
C.
Galli
The Galli were ancient eunuch priests devoted to the Phrygian and later Roman goddess Cybele, known for their ecstatic rituals, self-castration, and distinctive clothing.
-
D.
Galli
Galli is the Latin term for the ancient Celtic peoples of Gaul, roughly corresponding to modern-day France and surrounding regions.
-
E.
Gallo Nero
Gallo Nero is the iconic black rooster emblem historically associated with Chianti Classico wines from Tuscany, Italy.
- 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_69d87f2c6778819080fcfae53be8f12a |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32cd8d2988190acb5722a15623319 |
completed | April 18, 2026, 7:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00458f8f3c8190ad5eff2ad2a32dea |
completed | May 10, 2026, 8:45 a.m. |
Created at: April 10, 2026, 5:10 a.m.