Triple
T135534
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Turkish language |
E2737
|
entity |
| Predicate | usesLoanwordsFrom |
P4183
|
FINISHED |
| Object | French |
E13984
|
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: French | Statement: [Turkish language, usesLoanwordsFrom, French]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: French Context triple: [Turkish language, usesLoanwordsFrom, French]
-
A.
French
chosen
French is a Romance language that evolved from Latin and is now spoken worldwide as both a native and official language in many countries.
-
B.
Niçard Occitan
Niçard Occitan is a Romance variety of the Occitan language traditionally spoken in and around the city of Nice in southeastern France.
-
C.
Romandy
Romandy is the French-speaking western region of Switzerland, encompassing cantons such as Geneva, Vaud, Neuchâtel, and Jura.
-
D.
Occitan
Occitan is a Romance language historically spoken in southern France and neighboring regions, known for its rich medieval literary tradition and close relation to Catalan.
-
E.
Haitian Creole
Haitian Creole is a French-based creole language spoken primarily in Haiti and its diaspora, recognized as one of the country's official languages and used in education, media, and religious life.
- 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_69a2520c0f3481908b0ed054a2fca8d0 |
completed | Feb. 28, 2026, 2:25 a.m. |
| NER | Named-entity recognition | batch_69a25b82ef94819083488d3d93fdfe6f |
completed | Feb. 28, 2026, 3:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a2b4bad1a0819098459e2a9d6b8d2a |
completed | Feb. 28, 2026, 9:26 a.m. |
Created at: Feb. 28, 2026, 2:30 a.m.