Triple
T8762776
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vella Lavella |
E208243
|
entity |
| Predicate | isDistinctFrom |
P1612
|
FINISHED |
| Object | Bilua |
E533108
|
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: Bilua | Statement: [Vella Lavella, isDistinctFrom, Bilua]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bilua Context triple: [Vella Lavella, isDistinctFrom, Bilua]
-
A.
Bilua
chosen
Bilua is an Oceanic language spoken primarily on Vella Lavella Island in the Solomon Islands.
-
B.
Biloela
Biloela is a rural town in Queensland, Australia, known as an agricultural and administrative centre for the surrounding Central Queensland region.
-
C.
Subala
Subala is a king of Gandhara in the Mahabharata, known as the father of Gandhari and maternal grandfather of the Kauravas.
-
D.
Kiali
Kiali is an observability and management console for Istio-based service meshes, providing traffic visualization, configuration insight, and troubleshooting tools.
-
E.
Mijas
Mijas is a picturesque municipality in the province of Málaga in southern Spain, known for its whitewashed village, coastal resorts, and location along the Costa del Sol.
- 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_69ca835df7e08190ac875664cca8f9ca |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5dfc85e481909a7ce80c5022e6e9 |
completed | March 31, 2026, 11:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf4354a4c081908c338db408694abf |
completed | April 3, 2026, 4:34 a.m. |
Created at: March 30, 2026, 6:40 p.m.