Triple
T15266392
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lagos Mainland |
E364910
|
entity |
| Predicate | hasNeighbourhood |
P4813
|
FINISHED |
| Object |
Onipanu
Onipanu is a bustling residential and commercial neighborhood located on the Lagos Mainland in Lagos, Nigeria.
|
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: Onipanu | Statement: [Lagos Mainland, hasNeighbourhood, Onipanu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Onipanu Context triple: [Lagos Mainland, hasNeighbourhood, Onipanu]
-
A.
Opañel
Opañel is a Madrid Metro station serving the Carabanchel district in Spain.
-
B.
Okitipupa
Okitipupa is a prominent town in southwestern Nigeria known as a commercial and administrative center within Ondo State.
-
C.
Akapana
Akapana is a monumental terraced pyramid and ceremonial complex at the ancient city of Tiwanaku, serving as one of the most important religious and political centers of the Middle Horizon Andes.
-
D.
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.
-
E.
Palipana
Palipana is a reclusive, blind epigrapher and former academic in Michael Ondaatje’s novel "Anil’s Ghost," known for his controversial scholarship and enigmatic role in uncovering Sri Lanka’s buried histories.
- 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: Onipanu Triple: [Lagos Mainland, hasNeighbourhood, Onipanu]
Generated description
Onipanu is a bustling residential and commercial neighborhood located on the Lagos Mainland in Lagos, Nigeria.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Onipanu Target entity description: Onipanu is a bustling residential and commercial neighborhood located on the Lagos Mainland in Lagos, Nigeria.
-
A.
Opañel
Opañel is a Madrid Metro station serving the Carabanchel district in Spain.
-
B.
Okitipupa
Okitipupa is a prominent town in southwestern Nigeria known as a commercial and administrative center within Ondo State.
-
C.
Akapana
Akapana is a monumental terraced pyramid and ceremonial complex at the ancient city of Tiwanaku, serving as one of the most important religious and political centers of the Middle Horizon Andes.
-
D.
Opebi
chosen
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.
-
E.
Palipana
Palipana is a reclusive, blind epigrapher and former academic in Michael Ondaatje’s novel "Anil’s Ghost," known for his controversial scholarship and enigmatic role in uncovering Sri Lanka’s buried histories.
- 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_69d85a0f08408190b3c3259ae35d79d2 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00851c5b88190a296b6a105d3ee30 |
completed | April 15, 2026, 9:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fee600340c8190a1888d35c2c1bc86 |
completed | May 9, 2026, 7:45 a.m. |
| NEDg | Description generation | batch_69fee714cf6c81908dc4427590eeae85 |
completed | May 9, 2026, 7:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69feeae4731081909964bd8b1ea3dd7a |
completed | May 9, 2026, 8:05 a.m. |
Created at: April 10, 2026, 3:14 a.m.