Triple
T6564716
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lakon |
E153873
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | 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: Vurës | Statement: [Lakon, hasAlternativeName, Vurës]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vurës Context triple: [Lakon, hasAlternativeName, Vurës]
-
A.
Vurës
chosen
Vurës is an Oceanic language spoken on the island of Vanua Lava in northern Vanuatu.
-
B.
Himarë
Himarë is a coastal town in southern Albania known for its beaches, historic stone villages, and prominent role as a tourist hub on the Ionian Sea.
-
C.
Bsharri
Bsharri is a historic town in northern Lebanon known as the birthplace of poet Khalil Gibran and as a gateway to the nearby Cedars of God forest in the Mount Lebanon range.
-
D.
Peshkopi
Peshkopi is a small town in northeastern Albania known as a regional center near the border with North Macedonia and the Korab mountain range.
-
E.
Elbasan
Elbasan is a city in central Albania known as an important industrial and transportation hub with historical roots dating back to the Ottoman era.
- 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_69c6e42523848190b02682e6a640ac05 |
completed | March 27, 2026, 8:10 p.m. |
Created at: March 27, 2026, 1:52 p.m.