Triple
T2718966
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wuse |
E60034
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object |
Utako
Utako is a busy district in Abuja, Nigeria, known for its major motor parks, commercial activity, and central location within the city.
|
E293155
|
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: Utako | Statement: [Wuse, adjacentTo, Utako]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Utako Context triple: [Wuse, adjacentTo, Utako]
-
A.
Urunga
Urunga is a small coastal town in New South Wales, Australia, known for its scenic boardwalks, estuary views, and relaxed seaside atmosphere.
-
B.
Uruca
Uruca is a district of San José, Costa Rica, known as an important industrial and commercial area within the capital.
-
C.
Utu
Utu is the Sumerian sun god associated with justice, truth, and divine judgment.
-
D.
Utulei
Utulei is a coastal village and administrative center on Tutuila Island in American Samoa, known for its government offices and harborfront location near the capital, Pago Pago.
-
E.
Itaboraí
Itaboraí is a municipality in the state of Rio de Janeiro, Brazil, known for its industrial development and proximity to the metropolitan area of Rio de Janeiro.
- 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: Utako Triple: [Wuse, adjacentTo, Utako]
Generated description
Utako is a busy district in Abuja, Nigeria, known for its major motor parks, commercial activity, and central location within the city.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Utako Target entity description: Utako is a busy district in Abuja, Nigeria, known for its major motor parks, commercial activity, and central location within the city.
-
A.
Urunga
Urunga is a small coastal town in New South Wales, Australia, known for its scenic boardwalks, estuary views, and relaxed seaside atmosphere.
-
B.
Uruca
Uruca is a district of San José, Costa Rica, known as an important industrial and commercial area within the capital.
-
C.
Utu
Utu is the Sumerian sun god associated with justice, truth, and divine judgment.
-
D.
Utulei
Utulei is a coastal village and administrative center on Tutuila Island in American Samoa, known for its government offices and harborfront location near the capital, Pago Pago.
-
E.
Itaboraí
Itaboraí is a municipality in the state of Rio de Janeiro, Brazil, known for its industrial development and proximity to the metropolitan area of Rio de Janeiro.
- 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_69ab4b746d248190958e052045c09255 |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdaaee104819085966bc54d5da9c0 |
completed | March 7, 2026, 7:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afb68ebd0081908bb360872d559e1f |
completed | March 10, 2026, 6:13 a.m. |
| NEDg | Description generation | batch_69afb75ea498819089c79e63052e9696 |
completed | March 10, 2026, 6:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afb83ba6dc8190931d691d3e354bd7 |
completed | March 10, 2026, 6:20 a.m. |
Created at: March 6, 2026, 9:55 p.m.