Triple
T22605379
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roman province of Dardania |
E566541
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Dardani |
—
|
NE NERFINISHED |
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: Dardani | Statement: [Roman province of Dardania, namedAfter, Dardani]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dardani Context triple: [Roman province of Dardania, namedAfter, Dardani]
-
A.
Dardania
chosen
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.
-
B.
Dacus
Dacus is the surname of American indie rock singer-songwriter Lucy Dacus.
-
C.
Bellovaci
The Bellovaci were an ancient Belgic tribe of northern Gaul, known from Julius Caesar’s Gallic Wars for their resistance to Roman expansion.
-
D.
Sarmato
Sarmato is a small Italian municipality in the Emilia-Romagna region, known for its rural landscape and historic architecture.
-
E.
Aequians
The Aequians were an ancient Italic people of central Italy who frequently clashed with early Rome and neighboring tribes during the early Republic.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245884860819081046ce07d5872c4 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f162709d808190af83837104a190f9 |
completed | April 29, 2026, 1:44 a.m. |
Created at: April 17, 2026, 2:53 p.m.