Triple
T6564683
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vurës |
E153872
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Mosina-Vurës |
E153872
|
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: Mosina-Vurës | Statement: [Vurës, hasAlternativeName, Mosina-Vurës]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mosina-Vurës Context triple: [Vurës, hasAlternativeName, Mosina-Vurës]
-
A.
Vurës
chosen
Vurës is an Oceanic language spoken on the island of Vanua Lava in northern Vanuatu.
-
B.
Gherdëina
Gherdëina is a Ladin dialect spoken in the Val Gardena region of the Dolomites in northern Italy.
-
C.
Maja Jezercë
Maja Jezercë is a prominent mountain peak in the Albanian Alps, known as one of the highest and most rugged summits in the Balkans.
-
D.
Rugova Mountains
The Rugova Mountains are a dramatic alpine range in western Kosovo known for their deep gorges, high peaks, and popular hiking, climbing, and winter sports opportunities.
-
E.
Korab
Korab is a towering mountain on the border of Albania and North Macedonia, known as the highest peak of both countries and a prominent summit in the Balkan region.
- 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_69c6880cb35881909b763eb0125236b9 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ae3b9ec8819080f3052556d95810 |
completed | March 27, 2026, 4:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6d5622e0481909b0ac0f4e06d19bc |
completed | March 27, 2026, 7:07 p.m. |
Created at: March 27, 2026, 1:52 p.m.