Triple
T12401167
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Igboid languages |
E296255
|
entity |
| Predicate | containsLanguage |
P2177
|
FINISHED |
| Object | Ikwerre language |
E414167
|
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: Ikwerre language | Statement: [Igboid languages, containsLanguage, Ikwerre language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ikwerre language Context triple: [Igboid languages, containsLanguage, Ikwerre language]
-
A.
Ikwerre language
chosen
Ikwerre language is an Igboid language spoken primarily by the Ikwerre people in Rivers State, Nigeria.
-
B.
Akweya language
Akweya language is a Niger-Congo language spoken by the Akweya people of central Nigeria and classified within the Idomoid branch.
-
C.
Okpamheri language
The Okpamheri language is a lesser-known Edoid language spoken by a small ethnic community in southern Nigeria.
-
D.
Igala language
Igala language is a Niger-Congo language spoken primarily in central Nigeria by the Igala people, closely related to Yoruba and other Defoid languages.
-
E.
Sanglechi language
The Sanglechi language is an Eastern Iranian language spoken by a small community in the Sanglech Valley region of Afghanistan and Tajikistan.
- 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_69d6ad9f464c81909db36d7e96e34b9e |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d46007c81908e0f4b590402bf58 |
completed | April 10, 2026, 7:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f65ea28b508190a2467b9af195e4ed |
completed | May 2, 2026, 8:29 p.m. |
Created at: April 8, 2026, 9:55 p.m.