Triple
T16183988
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rote Insel |
E392751
|
entity |
| Predicate | hasNameMeaning |
P1966
|
FINISHED |
| Object | Red Island |
E482376
|
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: Red Island | Statement: [Rote Insel, hasNameMeaning, Red Island]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Red Island Context triple: [Rote Insel, hasNameMeaning, Red Island]
-
A.
Red Island
chosen
Red Island is the English meaning of the name Île-Rousse, a coastal town in Corsica known for its reddish rock formations and beaches.
-
B.
Ship Island
Ship Island is a barrier island off the Mississippi Gulf Coast known for its historic Fort Massachusetts, beaches, and role in coastal defense and tourism.
-
C.
Wilkes Island
Wilkes Island is one of the three small islets that together form the U.S. territory of Wake Island in the North Pacific Ocean.
-
D.
ヨッシーアイランド
ヨッシーアイランドは、任天堂の『スーパーマリオ』シリーズに登場する恐竜キャラクター「ヨッシー」が主役となる横スクロールアクションゲームの舞台および作品タイトルとして知られるゲーム作品です。
-
E.
Beef Island
Beef Island is a small island in the British Virgin Islands known for hosting the Terrance B. Lettsome International Airport, the territory’s main air gateway.
- 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_69d87f1e49ac8190a311b54d32990576 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e2205fc080819097858f36253fef7c |
completed | April 17, 2026, 11:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a006ecc2b4c8190ac9654ac826f198e |
completed | May 10, 2026, 11:41 a.m. |
Created at: April 10, 2026, 5:02 a.m.