Triple
T16826109
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emeka Anyaoku |
E409022
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | Obosi |
E581755
|
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: Obosi | Statement: [Emeka Anyaoku, placeOfBirth, Obosi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Obosi Context triple: [Emeka Anyaoku, placeOfBirth, Obosi]
-
A.
Obosi
chosen
Obosi is a historic Igbo town in southeastern Nigeria known for its cultural heritage and proximity to the commercial city of Onitsha in Anambra State.
-
B.
Okobo
Okobo are a subgroup of the Oron people of southeastern Nigeria, known for their distinct language, cultural practices, and coastal riverine settlements in Akwa Ibom State.
-
C.
Okeke
Okeke is a common Igbo surname of Nigerian origin, borne by many individuals across various professions and regions.
-
D.
Ogba
Ogba is a bustling mixed-use neighborhood in Lagos, Nigeria, known for its residential estates, markets, and small-to-medium-scale businesses.
-
E.
Ogba
Ogba is an ethnic group and local government area in Rivers State, Nigeria, known for its distinct language and rich cultural traditions.
- 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_69d88394566c8190b3dcbdc72935f7fa |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b3126db88190ac5595b0d50e4232 |
completed | April 18, 2026, 4:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00b29e48f881908489bd77a9caec97 |
completed | May 10, 2026, 4:30 p.m. |
Created at: April 10, 2026, 5:23 a.m.