Triple
T975252
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yola language |
E21037
|
entity |
| Predicate | influencedBy |
P9
|
FINISHED |
| Object | Norman French |
E10116
|
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: Norman French | Statement: [Yola language, influencedBy, Norman French]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Norman French Context triple: [Yola language, influencedBy, Norman French]
-
A.
Old French
Old French was the medieval Romance language spoken in northern France and surrounding regions, which served as the linguistic ancestor of modern French and significantly influenced English after the Norman Conquest.
-
B.
Middle French
Middle French is the historical stage of the French language used roughly between the 14th and 17th centuries, marking the transition from Old French to Modern French.
-
C.
Anglo-Norman
chosen
Anglo-Norman is a variety of Old Norman French that developed in England after the Norman Conquest and served as a key language of the medieval English court, law, and literature.
-
D.
Breton
Breton is a Celtic language spoken primarily in Brittany, France, known for its close relation to Cornish and Welsh.
-
E.
French
French is a Romance language that evolved from Latin and is now spoken worldwide as both a native and official language in many countries.
- 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_69a493c2b62c8190b616351789ec47f8 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b46234c88190b2bfc9cafe59d7f7 |
completed | March 1, 2026, 9:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac170c0fdc8190b904ca5737764f5a |
completed | March 7, 2026, 12:16 p.m. |
Created at: March 1, 2026, 7:40 p.m.