Triple
T17509821
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nabouwalu |
E426420
|
entity |
| Predicate | connectsTo |
P845
|
FINISHED |
| Object | Lautoka |
—
|
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: Lautoka | Statement: [Nabouwalu, connectsTo, Lautoka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lautoka Context triple: [Nabouwalu, connectsTo, Lautoka]
-
A.
Lautoka
chosen
Lautoka is Fiji's second-largest city, located on the western coast of Viti Levu and known as a major port and center of the country's sugar industry.
-
B.
Liausson
Liausson is a small commune in southern France’s Hérault department, known for its scenic setting on the shores of the artificial Lac du Salagou.
-
C.
Laak
Laak is an urban district of The Hague in the Netherlands, known for its dense residential areas, canals, and diverse population.
-
D.
Klaukkala
Klaukkala is the largest and most populous urban area of the municipality of Nurmijärvi in southern Finland, functioning as a key residential and commercial center for the region.
-
E.
Laukhella
Laukhella is a small settlement located on the island of Andørja in northern Norway.
- 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_69d889dd9164819087b1dc3c9240c870 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4525a43208190b8728214767428c0 |
completed | April 19, 2026, 3:56 a.m. |
Created at: April 10, 2026, 5:48 a.m.