Triple
T12795720
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abeokuta South |
E305883
|
entity |
| Predicate | hasUrbanArea |
P316
|
FINISHED |
| Object |
Ita Merin
Ita Merin is an urban locality within the Abeokuta South area of Ogun State, Nigeria.
|
E1001994
|
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: Ita Merin | Statement: [Abeokuta South, hasUrbanArea, Ita Merin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ita Merin Context triple: [Abeokuta South, hasUrbanArea, Ita Merin]
-
A.
Nicola Mindel
Nicola Mindel is known as the wife of acclaimed cinematographer Dan Mindel, who has worked on major films such as "Star Trek" and "Star Wars."
-
B.
Vada Sabatia
Vada Sabatia was an ancient Roman coastal settlement in Liguria, Italy, that served as a key stop along important imperial roads and maritime routes.
-
C.
Marly Ehrhardt
Marly Ehrhardt is a character known primarily as the rival of Christine Campbell in the television series "The New Adventures of Old Christine."
-
D.
Nilde Iotti
Nilde Iotti was a prominent Italian communist politician who became the first woman to serve as President of the Chamber of Deputies in Italy.
-
E.
Ketti Frings
Ketti Frings was an American author, playwright, and screenwriter best known for her Pulitzer Prize-winning stage adaptation of Thomas Wolfe’s novel "Look Homeward, Angel."
- 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: Ita Merin Triple: [Abeokuta South, hasUrbanArea, Ita Merin]
Generated description
Ita Merin is an urban locality within the Abeokuta South area of Ogun State, Nigeria.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ita Merin Target entity description: Ita Merin is an urban locality within the Abeokuta South area of Ogun State, Nigeria.
-
A.
Nicola Mindel
Nicola Mindel is known as the wife of acclaimed cinematographer Dan Mindel, who has worked on major films such as "Star Trek" and "Star Wars."
-
B.
Vada Sabatia
Vada Sabatia was an ancient Roman coastal settlement in Liguria, Italy, that served as a key stop along important imperial roads and maritime routes.
-
C.
Marly Ehrhardt
Marly Ehrhardt is a character known primarily as the rival of Christine Campbell in the television series "The New Adventures of Old Christine."
-
D.
Nilde Iotti
Nilde Iotti was a prominent Italian communist politician who became the first woman to serve as President of the Chamber of Deputies in Italy.
-
E.
Ketti Frings
Ketti Frings was an American author, playwright, and screenwriter best known for her Pulitzer Prize-winning stage adaptation of Thomas Wolfe’s novel "Look Homeward, Angel."
- 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_69d7bdf366888190a8cccb982606889c |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96e6db68481909a2ca8da1287f3e0 |
completed | April 10, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6850d6ebc8190aaffcac09f4b15eb |
completed | May 2, 2026, 11:13 p.m. |
| NEDg | Description generation | batch_69f6863fada48190afe2ff7896a60094 |
completed | May 2, 2026, 11:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f686bcac94819088782273effbb06a |
completed | May 2, 2026, 11:20 p.m. |
Created at: April 9, 2026, 5:30 p.m.