Triple
T21473279
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rubiana |
E529786
|
entity |
| Predicate | alternativeNameOf |
P39
|
FINISHED |
| Object | Roviana |
—
|
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: Roviana | Statement: [Rubiana, alternativeNameOf, Roviana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Roviana Context triple: [Rubiana, alternativeNameOf, Roviana]
-
A.
Roviana
chosen
Roviana is an Oceanic language spoken primarily in the Western Province of the Solomon Islands, particularly around the Roviana Lagoon.
-
B.
Lautém
Lautém is a coastal municipality in the easternmost part of Timor-Leste, known for its rugged landscapes, traditional culture, and important ecological sites.
-
C.
Faleula
Faleula is a village on the island of Upolu in Samoa, known for its coastal location and traditional Samoan community life.
-
D.
Tolitoli
Tolitoli is a coastal town and regency capital in Central Sulawesi, Indonesia, known as a regional hub for trade and agriculture.
-
E.
Tanna
Tanna is a volcanic island in southern Vanuatu known for its active Mount Yasur volcano and traditional kastom villages.
- 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_69e0c459acb481909bb6ee452a0045c7 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9ea156dac819087c4594d022d3df6 |
completed | April 23, 2026, 9:44 a.m. |
Created at: April 16, 2026, 6:19 p.m.