Triple
T18767365
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ybanag |
E458925
|
entity |
| Predicate | hasAlternativeSpelling |
P457
|
FINISHED |
| Object | Ybanag language |
—
|
NE NERFINISHED |
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: Ybanag language | Statement: [Ybanag, hasAlternativeSpelling, Ybanag language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ybanag language Context triple: [Ybanag, hasAlternativeSpelling, Ybanag language]
-
A.
Ibani language
The Ibani language is an Ijoid language of the Niger-Congo family spoken primarily by the Ibani people in and around Bonny Island in Rivers State, Nigeria.
-
B.
Agutaynen language
chosen
Agutaynen is an Austronesian language spoken by the Agutaynen people of Palawan in the Philippines.
-
C.
Isoko language
The Isoko language is a Niger-Congo language spoken primarily by the Isoko people of southern Nigeria, particularly in Delta State.
-
D.
Tabasaran language
The Tabasaran language is a Northeast Caucasian language spoken primarily in southern Dagestan, Russia, known for its complex phonology and rich case system.
-
E.
Ebira language
Ebira language is a Nupoid language of the Niger-Congo family spoken primarily by the Ebira people in central Nigeria.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d395dba0819087568404508590cb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e58d859c8081909cec3aa64d264885 |
completed | April 20, 2026, 2:20 a.m. |
Created at: April 10, 2026, 11:52 a.m.