Triple
T17069142
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ikwerre language |
E414167
|
entity |
| Predicate | languageFamily |
P1047
|
FINISHED |
| Object | Igboid |
E376323
|
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: Igboid | Statement: [Ikwerre language, languageFamily, Igboid]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Igboid Context triple: [Ikwerre language, languageFamily, Igboid]
-
A.
Igboid
chosen
Igboid is a branch of the Niger-Congo language family comprising closely related languages spoken primarily by the Igbo people and neighboring groups in southeastern Nigeria.
-
B.
Igbodigo
Igbodigo is a principal town of the Ikale people in southwestern Nigeria, serving as one of their key population and cultural centers.
-
C.
Ogboru
Ogboru is a traditional deity revered by the Urhobo people of Nigeria, associated with their indigenous religious beliefs and cultural practices.
-
D.
Igbogbo
Igbogbo is a town in Lagos State, Nigeria, known as a growing suburban community within the Ikorodu axis.
-
E.
Igbokoda
Igbokoda is a prominent riverine town in southwestern Nigeria known for its fishing activities and waterways.
- 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_69d886cef44c8190ba56c44b4e863e64 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dbbfb1f08190807301ff6e573cf5 |
completed | April 18, 2026, 7:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01235278d48190bacc7881b9eb1ea1 |
completed | May 11, 2026, 12:31 a.m. |
Created at: April 10, 2026, 5:34 a.m.