Triple
T12258150
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Egypt 80 |
E292152
|
entity |
| Predicate | basedIn |
P40
|
FINISHED |
| Object |
Lagos
Lagos is Nigeria’s largest city and a major West African economic and cultural hub known for its vibrant music, film, and arts scenes.
|
E10118
|
NE FINISHED |
How this triple was built (4 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: Lagos | Statement: [Egypt 80, basedIn, Lagos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lagos Context triple: [Egypt 80, basedIn, Lagos]
-
A.
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.
-
B.
Lagos
Lagos is a historic coastal city in Portugal’s Algarve region, known for its scenic beaches, dramatic cliffs, and well-preserved old town.
-
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.
Ibadan
Ibadan is one of the largest and most populous cities in southwestern Nigeria, historically significant as a major Yoruba cultural and economic center.
-
E.
Port Harcourt
Port Harcourt is a major oil and industrial city in southern Nigeria and the capital of Rivers State.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Lagos Triple: [Egypt 80, basedIn, Lagos]
Generated description
Lagos is Nigeria’s largest city and a major West African economic and cultural hub known for its vibrant music, film, and arts scenes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lagos Target entity description: Lagos is Nigeria’s largest city and a major West African economic and cultural hub known for its vibrant music, film, and arts scenes.
-
A.
Lagos
chosen
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.
-
B.
Lagos
Lagos is a historic coastal city in Portugal’s Algarve region, known for its scenic beaches, dramatic cliffs, and well-preserved old town.
-
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.
Ibadan
Ibadan is one of the largest and most populous cities in southwestern Nigeria, historically significant as a major Yoruba cultural and economic center.
-
E.
Port Harcourt
Port Harcourt is a major oil and industrial city in southern Nigeria and the capital of Rivers State.
- F. None of above.
Provenance (5 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_69d6ab67950c8190be08450a06228c4b |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91ccadc3c81908fe68adc3fdcc851 |
completed | April 10, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60a7140c4819086a2dcb2cf334963 |
completed | May 2, 2026, 2:30 p.m. |
| NEDg | Description generation | batch_69f60bde9b0c81908df8207a8b6530af |
completed | May 2, 2026, 2:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f60c97a7e08190b782b3aa6d60d770 |
completed | May 2, 2026, 2:39 p.m. |
Created at: April 8, 2026, 9:52 p.m.