Triple
T14432828
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Georgia |
E357877
|
entity |
| Predicate | hasNearbyIsland |
P970
|
FINISHED |
| Object | Rendova |
E357879
|
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: Rendova | Statement: [New Georgia, hasNearbyIsland, Rendova]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rendova Context triple: [New Georgia, hasNearbyIsland, Rendova]
-
A.
Rendova
chosen
Rendova is a volcanic island in the Solomon Islands' Western Province, notable for its rugged terrain, dense rainforest, and role as a World War II military base.
-
B.
Ronga
Ronga is a Bantu language spoken primarily in southern Mozambique, known for contributing vocabulary and structural features to African varieties of Portuguese.
-
C.
Palaonda
Palaonda is an indoor ice arena in Bolzano, Italy, primarily used for ice hockey and other sporting and entertainment events.
-
D.
Roura
Roura is a commune in French Guiana known for its rainforest landscapes and proximity to the Kaw-Roura Marshland Nature Reserve.
-
E.
Rovenna
Rovenna is a small village and frazione of the municipality of Cernobbio in the Province of Como, Lombardy, northern Italy.
- 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_69d8279402a88190821ffa39ae15bccf |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de91471a648190adb7b283a6a85c3e |
completed | April 14, 2026, 7:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd5bd3e6c48190b4fc3794202a0c3f |
completed | May 8, 2026, 3:43 a.m. |
Created at: April 10, 2026, 1:18 a.m.