Triple
T1497494
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nauru |
E29717
|
entity |
| Predicate | demonym |
P191
|
FINISHED |
| Object | Nauruan |
E50300
|
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: Nauruan | Statement: [Nauru, demonym, Nauruan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nauruan Context triple: [Nauru, demonym, Nauruan]
-
A.
Nauruan
chosen
Nauruan is an Austronesian language spoken primarily on the Pacific island nation of Nauru.
-
B.
Palauan
Palauan is an Austronesian language spoken primarily in the Republic of Palau in the western Pacific Ocean.
-
C.
Marshallese language
Marshallese is an Austronesian language spoken primarily in the Republic of the Marshall Islands, known for its complex system of consonants and vowel allophones influenced by surrounding oceanic languages.
-
D.
Tok Pisin
Tok Pisin is an English-based creole language widely spoken in Papua New Guinea, where it serves as a major lingua franca and one of the country’s primary official languages.
-
E.
Solomon Islands Pijin
Solomon Islands Pijin is an English-based creole language widely used as a lingua franca across the Solomon Islands.
- 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_69a498dba1d8819093b46a3a8d2485f1 |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c6edca248190a90205799b270058 |
completed | March 1, 2026, 11:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad2943545c8190a2246a41d712528b |
completed | March 8, 2026, 7:46 a.m. |
Created at: March 1, 2026, 8:12 p.m.