Triple
T636430
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Istro-Romanian |
E16631
|
entity |
| Predicate | hasLexicalInfluenceFrom |
P2268
|
FINISHED |
| Object | Slovene |
E28855
|
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: Slovene | Statement: [Istro-Romanian, hasLexicalInfluenceFrom, Slovene]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Slovene Context triple: [Istro-Romanian, hasLexicalInfluenceFrom, Slovene]
-
A.
Slovene
chosen
Slovene is a South Slavic language spoken primarily in Slovenia and recognized as one of the official languages of the European Union.
-
B.
Croatian
Croatian is a South Slavic language primarily spoken in Croatia and recognized as one of the official languages of the European Union.
-
C.
Triestine Venetian dialect
The Triestine Venetian dialect is a regional variety of the Venetian language spoken in and around Trieste, characterized by a blend of Venetian, Slovene, German, and local linguistic influences.
-
D.
Slovak language
The Slovak language is a West Slavic language spoken primarily in Slovakia and closely related to Czech and Polish.
-
E.
Novo Mesto, Slovenia
Novo Mesto is a historic town in southeastern Slovenia known for its cultural heritage and picturesque setting on the Krka River.
- 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_69a4936be1c88190af56540324b57da7 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49ee7fdbc8190858e42bb1bfdb3ff |
completed | March 1, 2026, 8:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a56ef25ffc81908517310fe0c84a68 |
completed | March 2, 2026, 11:05 a.m. |
Created at: March 1, 2026, 7:35 p.m.