Triple
T3024489
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aba |
E82542
|
entity |
| Predicate | nearbyCity |
P350
|
FINISHED |
| Object | Umuahia |
E296839
|
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: Umuahia | Statement: [Aba, nearbyCity, Umuahia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Umuahia Context triple: [Aba, nearbyCity, Umuahia]
-
A.
Umuahia
chosen
Umuahia is a city in southeastern Nigeria that serves as a major administrative and commercial center in the region.
-
B.
Ogwashi-Ukwu
Ogwashi-Ukwu is a town in Delta State, southern Nigeria, known as the hometown of prominent economist and World Trade Organization Director-General Ngozi Okonjo-Iweala.
-
C.
Nkwerre
Nkwerre is a town and local government area in southeastern Nigeria known for its location within Imo State and its cultural and commercial activities.
-
D.
Aboh Mbaise
Aboh Mbaise is a local government area in southeastern Nigeria known for its predominantly Igbo population and rich cultural traditions.
-
E.
Nzebi
Nzebi is a Bantu language spoken primarily by the Nzebi people of Gabon and recognized there as one of the national languages.
- 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_69ad8b1fb34081908c1b873e2b7273e1 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9abac0288190a30b42674eea501f |
completed | March 8, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1f86995c88190bdf3af6f96f7a195 |
completed | March 11, 2026, 11:19 p.m. |
Created at: March 8, 2026, 3 p.m.