Triple
T8056259
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Revoz |
E188008
|
entity |
| Predicate | brandProduced |
P4022
|
FINISHED |
| Object | Dacia |
E446408
|
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: Dacia | Statement: [Revoz, brandProduced, Dacia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dacia Context triple: [Revoz, brandProduced, Dacia]
-
A.
Dacia
Dacia was an ancient region in Eastern Europe, roughly corresponding to modern-day Romania and surrounding areas, known for its conflicts and eventual conquest by the Roman Empire.
-
B.
Dacia
chosen
Dacia is a Romanian car manufacturer known for producing affordable, no-frills vehicles, owned by the French automotive group Renault.
-
C.
Dacia Ripensis
Dacia Ripensis was a late Roman province along the Danube frontier in the Balkans, known as a militarized border region of the empire.
-
D.
Banat
Banat is a historical region in Central Europe, now divided among Romania, Serbia, and Hungary, known for its ethnic diversity and multicultural heritage.
-
E.
Dardania
Dardania was an ancient region in the central Balkans, roughly corresponding to parts of modern Kosovo and surrounding areas, known as a Roman and later Byzantine province.
- 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_69ca82b2f68881908c50560697e210da |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3fa26fb88190b6799bddeb68ed78 |
completed | March 31, 2026, 3:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc5725c5308190b2eb565902124b10 |
completed | March 31, 2026, 11:22 p.m. |
Created at: March 30, 2026, 5:25 p.m.