Triple
T830729
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Smiljan |
E17957
|
entity |
| Predicate | languageUsed |
P238
|
FINISHED |
| Object | Croatian |
E29128
|
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: Croatian | Statement: [Smiljan, languageUsed, Croatian]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Croatian Context triple: [Smiljan, languageUsed, Croatian]
-
A.
Croatian
chosen
Croatian is a South Slavic language primarily spoken in Croatia and recognized as one of the official languages of the European Union.
-
B.
Bosnian
Bosnian is a South Slavic language primarily spoken in Bosnia and Herzegovina and by Bosniak communities in the Balkans and worldwide.
-
C.
Croats
Croats are a South Slavic ethnic group primarily associated with Croatia and the broader Balkan region, known for their distinct language, culture, and historical heritage.
-
D.
Slovene
Slovene is a South Slavic language spoken primarily in Slovenia and recognized as one of the official languages of the European Union.
-
E.
Serbian language
The Serbian language is a South Slavic language primarily spoken in Serbia and neighboring regions, using both Cyrillic and Latin scripts.
- 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_69a4937c9c188190aaa216f6b466f452 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4abb384988190949d2df65662f76d |
completed | March 1, 2026, 9:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a76d9991488190808adb29d3ad6273 |
completed | March 3, 2026, 11:24 p.m. |
Created at: March 1, 2026, 7:38 p.m.