Triple
T12298157
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kuje |
E293142
|
entity |
| Predicate | isSuburbanAreaOf |
P294
|
FINISHED |
| Object | Abuja metropolitan region |
E9148
|
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: Abuja metropolitan region | Statement: [Kuje, isSuburbanAreaOf, Abuja metropolitan region]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Abuja metropolitan region Context triple: [Kuje, isSuburbanAreaOf, Abuja metropolitan region]
-
A.
Abuja
chosen
Abuja is a planned city in central Nigeria that serves as the country’s political and administrative center.
-
B.
Lagos–Abuja
Lagos–Abuja is a major domestic air route in Nigeria connecting the country’s largest city, Lagos, with its capital, Abuja.
-
C.
Lagos Mainland
Lagos Mainland is a densely populated urban area of Lagos, Nigeria, known for its residential neighborhoods, commercial hubs, and vibrant cultural life distinct from the more upscale Lagos Island.
-
D.
Lagos
Lagos is a major coastal megacity in southwestern Nigeria, known as the country’s economic hub and one of Africa’s most populous and vibrant urban centers.
-
E.
Lagos
Lagos is a historic coastal city in Portugal’s Algarve region, known for its scenic beaches, dramatic cliffs, and well-preserved old town.
- 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_69d6ab690ad081908c0ed3870ec82d53 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93eda55148190b720e479163d36e7 |
completed | April 10, 2026, 6:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63eedd7a4819082f2049dcfff6401 |
completed | May 2, 2026, 6:14 p.m. |
Created at: April 8, 2026, 9:52 p.m.