Triple
T3077318
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lagos State |
E64168
|
entity |
| Predicate | hasIsland |
P970
|
FINISHED |
| Object |
Ikoyi
Ikoyi is an affluent, high-end residential and commercial district in Lagos, Nigeria, known for its luxury real estate, upscale hotels, and diplomatic presence.
|
E327246
|
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: Ikoyi | Statement: [Lagos State, hasIsland, Ikoyi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ikoyi Context triple: [Lagos State, hasIsland, Ikoyi]
-
A.
Eso Ikoyi
Eso Ikoyi were an elite warrior caste of the Oyo Empire in Yorubaland, renowned for their strict code of honor, bravery, and key role in the empire’s military campaigns.
-
B.
Lekki
Lekki is a fictional companion mascot character associated with Nokki, likely designed as a cute, supportive sidekick figure.
-
C.
Lekki
Lekki is the official mascot character created for the XVIII Olympic Winter Games.
-
D.
Lekki
Lekki is a rapidly developing coastal city and affluent residential and commercial hub in Lagos State, Nigeria.
-
E.
Ado-Ekiti
Ado-Ekiti is the capital and largest city of Ekiti State in southwestern Nigeria, known as an administrative, educational, and commercial center for the surrounding region.
- 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: Ikoyi Triple: [Lagos State, hasIsland, Ikoyi]
Generated description
Ikoyi is an affluent, high-end residential and commercial district in Lagos, Nigeria, known for its luxury real estate, upscale hotels, and diplomatic presence.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ikoyi Target entity description: Ikoyi is an affluent, high-end residential and commercial district in Lagos, Nigeria, known for its luxury real estate, upscale hotels, and diplomatic presence.
-
A.
Eso Ikoyi
Eso Ikoyi were an elite warrior caste of the Oyo Empire in Yorubaland, renowned for their strict code of honor, bravery, and key role in the empire’s military campaigns.
-
B.
Lekki
Lekki is a fictional companion mascot character associated with Nokki, likely designed as a cute, supportive sidekick figure.
-
C.
Lekki
Lekki is the official mascot character created for the XVIII Olympic Winter Games.
-
D.
Lekki
Lekki is a rapidly developing coastal city and affluent residential and commercial hub in Lagos State, Nigeria.
-
E.
Ado-Ekiti
Ado-Ekiti is the capital and largest city of Ekiti State in southwestern Nigeria, known as an administrative, educational, and commercial center for the surrounding region.
- 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_69ad857a8aec8190bfdfd9c14554ac5a |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada1a6f6148190ae5cd6e45eda9006 |
completed | March 8, 2026, 4:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b20357f8c48190b6874f7596f30052 |
completed | March 12, 2026, 12:05 a.m. |
| NEDg | Description generation | batch_69b20571792081909fd8eca15a2227fa |
completed | March 12, 2026, 12:14 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b205d86ab0819084a352c0b634a026 |
completed | March 12, 2026, 12:16 a.m. |
Created at: March 8, 2026, 3:02 p.m.