Triple
T5925129
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ikeja |
E131789
|
entity |
| Predicate | hasDistrict |
P459
|
FINISHED |
| Object |
Opebi
Opebi is a commercial and residential neighborhood in Lagos, Nigeria, known for its busy Opebi Road, offices, shops, and proximity to major hubs in Ikeja.
|
E557259
|
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: Opebi | Statement: [Ikeja, hasDistrict, Opebi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Opebi Context triple: [Ikeja, hasDistrict, Opebi]
-
A.
Ovilava
Ovilava was a major Roman-era city in the province of Noricum, located at the site of modern Wels in present-day Austria.
-
B.
Beni
Beni is a town in western Nepal that serves as a gateway to the Dhaulagiri and Annapurna mountain regions.
-
C.
Beni
Beni is a sparsely populated, largely Amazonian department in northeastern Bolivia known for its tropical lowlands, cattle ranching, and rich indigenous cultures.
-
D.
Beni
Beni is a city in the eastern Democratic Republic of the Congo that became internationally known as a major hotspot of conflict and public health crises, including serving as the epicenter of the 2018–2020 Kivu Ebola epidemic.
-
E.
Okitipupa
Okitipupa is a prominent town in southwestern Nigeria known as a commercial and administrative center within Ondo 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: Opebi Triple: [Ikeja, hasDistrict, Opebi]
Generated description
Opebi is a commercial and residential neighborhood in Lagos, Nigeria, known for its busy Opebi Road, offices, shops, and proximity to major hubs in Ikeja.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Opebi Target entity description: Opebi is a commercial and residential neighborhood in Lagos, Nigeria, known for its busy Opebi Road, offices, shops, and proximity to major hubs in Ikeja.
-
A.
Ovilava
Ovilava was a major Roman-era city in the province of Noricum, located at the site of modern Wels in present-day Austria.
-
B.
Beni
Beni is a town in western Nepal that serves as a gateway to the Dhaulagiri and Annapurna mountain regions.
-
C.
Beni
Beni is a sparsely populated, largely Amazonian department in northeastern Bolivia known for its tropical lowlands, cattle ranching, and rich indigenous cultures.
-
D.
Beni
Beni is a city in the eastern Democratic Republic of the Congo that became internationally known as a major hotspot of conflict and public health crises, including serving as the epicenter of the 2018–2020 Kivu Ebola epidemic.
-
E.
Okitipupa
Okitipupa is a prominent town in southwestern Nigeria known as a commercial and administrative center within Ondo State.
- F. None of above. chosen
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_69c0085b75e88190a632f9691f9da48b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03852806c81908ba726c16adf3358 |
completed | March 22, 2026, 6:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0c04e5af8819095f15cfbc1f13c46 |
completed | March 23, 2026, 4:23 a.m. |
| NEDg | Description generation | batch_69c0c23cc6d081909ce27bfb6a6f33d4 |
completed | March 23, 2026, 4:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0c2deec7c81909d9949cb28f0211f |
completed | March 23, 2026, 4:34 a.m. |
Created at: March 22, 2026, 4 p.m.