Triple
T2179940
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Martha |
E49016
|
entity |
| Predicate | hasCognate |
P2525
|
FINISHED |
| Object | Marta (Slovak) |
E243816
|
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: Marta (Slovak) | Statement: [Martha, hasCognate, Marta (Slovak)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marta (Slovak) Context triple: [Martha, hasCognate, Marta (Slovak)]
-
A.
Marta (Czech)
chosen
Marta is the Czech form of the female given name Martha, commonly used in Czech-speaking countries.
-
B.
Marta (Polish)
Marta is a common Polish female given name, equivalent to Martha, traditionally associated with Christian and European naming traditions.
-
C.
Marta
Marta is a feminine given name commonly used in many European and Latin American countries, often considered a variant of the name Martha.
-
D.
Terézia Mora
Terézia Mora is a Hungarian-born German writer and translator acclaimed for her innovative prose and contributions to contemporary German-language literature.
-
E.
Hana Benešová
Hana Benešová was the wife of Czechoslovak statesman and second president Edvard Beneš and served as the country's First Lady during his presidencies.
- 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_69a88aa72d348190a9544bb5b8a4e71d |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abbef0e2f0819080ca457fe3b8b419 |
completed | March 7, 2026, 6 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae6af200948190a2d8866946012de4 |
completed | March 9, 2026, 6:38 a.m. |
Created at: March 4, 2026, 7:45 p.m.