Triple
T5037256
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Temotu languages |
E113455
|
entity |
| Predicate | hasMajorLanguage |
P207
|
FINISHED |
| Object | Nendö language |
E487759
|
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: Nendö language | Statement: [Temotu languages, hasMajorLanguage, Nendö language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nendö language Context triple: [Temotu languages, hasMajorLanguage, Nendö language]
-
A.
Nendö language
chosen
The Nendö language is an Oceanic language spoken on Nendö Island in the Solomon Islands’ Temotu Province.
-
B.
Hoanya language
The Hoanya language is an extinct Austronesian language once spoken by the Hoanya people of western Taiwan and classified among the indigenous Formosan languages.
-
C.
Damara language
The Damara language is a Khoe (Central Khoisan) language spoken primarily by the Damara people of Namibia.
-
D.
Piipaash language
The Piipaash language is a Native American language of the Yuman family traditionally spoken by the Piipaash (Maricopa) people of the lower Colorado River region in the southwestern United States.
-
E.
Avokaya language
The Avokaya language is a Central Sudanic language spoken primarily by the Avokaya people in parts of South Sudan and the Democratic Republic of the Congo.
- 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_69bd44384298819089c49e7c330ec7b8 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd73bb069c8190af86f1b2f95f3d95 |
completed | March 20, 2026, 4:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bea479f01c8190a84ff4973845eb17 |
completed | March 21, 2026, 2 p.m. |
Created at: March 20, 2026, 1:37 p.m.