Triple
T2407077
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nauruan |
E50300
|
entity |
| Predicate | nativeName |
P15
|
FINISHED |
| Object |
Dorerin Naoero
Dorerin Naoero is the endonym for the Nauruan language spoken on the Pacific island nation of Nauru.
|
E262371
|
NE FINISHED |
How this triple was built (4 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: Dorerin Naoero | Statement: [Nauruan, nativeName, Dorerin Naoero]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dorerin Naoero Context triple: [Nauruan, nativeName, Dorerin Naoero]
-
A.
Yoron
Yoron is a small subtropical island town in Japan’s Kagoshima Prefecture, known for its coral reefs, white-sand beaches, and traditional Ryukyuan-influenced culture.
-
B.
Renghiera
Renghiera is one of the historic bells housed in St Mark's Campanile in Venice, traditionally used for civic and religious signaling.
-
C.
Mamoru
Mamoru is a Japanese masculine given name commonly borne by notable figures in politics, arts, and entertainment.
-
D.
Yorick Le Saux
Yorick Le Saux is a French cinematographer known for his visually striking, atmospheric work on art-house and independent films.
-
E.
Odilon
Odilon is the nickname of Odilon Redon, a French Symbolist painter and printmaker known for his dreamlike, often fantastical imagery.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Dorerin Naoero Triple: [Nauruan, nativeName, Dorerin Naoero]
Generated description
Dorerin Naoero is the endonym for the Nauruan language spoken on the Pacific island nation of Nauru.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dorerin Naoero Target entity description: Dorerin Naoero is the endonym for the Nauruan language spoken on the Pacific island nation of Nauru.
-
A.
Yoron
Yoron is a small subtropical island town in Japan’s Kagoshima Prefecture, known for its coral reefs, white-sand beaches, and traditional Ryukyuan-influenced culture.
-
B.
Renghiera
Renghiera is one of the historic bells housed in St Mark's Campanile in Venice, traditionally used for civic and religious signaling.
-
C.
Mamoru
Mamoru is a Japanese masculine given name commonly borne by notable figures in politics, arts, and entertainment.
-
D.
Yorick Le Saux
Yorick Le Saux is a French cinematographer known for his visually striking, atmospheric work on art-house and independent films.
-
E.
Odilon
Odilon is the nickname of Odilon Redon, a French Symbolist painter and printmaker known for his dreamlike, often fantastical imagery.
- F. None of above. chosen
Provenance (5 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_69a88b0339a88190a1207333cd271cc9 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc8fcd3008190b27325e6829ae7ce |
completed | March 7, 2026, 6:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aeb3eba9d08190a2c63e590e08b4df |
completed | March 9, 2026, 11:50 a.m. |
| NEDg | Description generation | batch_69aeb4a5e9c481908426fe51343a1342 |
completed | March 9, 2026, 11:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69aeb52bec1881909c589aea2af3684c |
completed | March 9, 2026, 11:55 a.m. |
Created at: March 4, 2026, 7:58 p.m.