Triple
T900124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Róbert |
E19427
|
entity |
| Predicate | hasLanguageUsage |
P207
|
FINISHED |
| Object | Slovak |
E63000
|
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: Slovak | Statement: [Róbert, hasLanguageUsage, Slovak]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Slovak Context triple: [Róbert, hasLanguageUsage, Slovak]
-
A.
Slovak language
chosen
The Slovak language is a West Slavic language spoken primarily in Slovakia and closely related to Czech and Polish.
-
B.
Slovaks
Slovaks are a West Slavic ethnic group primarily associated with Slovakia, sharing linguistic and cultural ties with neighboring Slavic peoples.
-
C.
Slovak American
Slovak Americans are U.S. residents and citizens of Slovak ancestry, many of whose families immigrated from present-day Slovakia and contributed to American cultural, industrial, and artistic life.
-
D.
Czech language
Czech language is a West Slavic language spoken primarily in the Czech Republic and known for its rich literary tradition and complex grammar.
-
E.
Slovakia
Slovakia is a landlocked Central European country known for its mountainous landscapes, medieval castles, and membership in major international organizations such as the European Union and NATO.
- 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_69a4939e889c8190ac148b3ac1a7f90b |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ad42ecac81909f8bc554d2fe0363 |
completed | March 1, 2026, 9:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7c734e680819098840e9c736b5ead |
completed | March 4, 2026, 5:46 a.m. |
Created at: March 1, 2026, 7:39 p.m.