Triple
T12712200
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ado-Odo/Ota |
E303746
|
entity |
| Predicate | hasMajorTown |
P316
|
FINISHED |
| Object |
Atan-Ota
Atan-Ota is a prominent town in Ogun State, southwestern Nigeria, known as one of the key urban centers within the Ado-Odo/Ota local government area.
|
E996875
|
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: Atan-Ota | Statement: [Ado-Odo/Ota, hasMajorTown, Atan-Ota]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Atan-Ota Context triple: [Ado-Odo/Ota, hasMajorTown, Atan-Ota]
-
A.
Enyō
Enyō is a minor Greek goddess associated with war, destruction, and the bloody chaos of battle, often depicted as a companion of Ares.
-
B.
Genshō
Genshō was an 8th-century Japanese empress who ruled during the Nara period and is known for continuing the centralizing reforms of her predecessors.
-
C.
Sadanaru
Sadanaru is a Japanese given name historically borne by members of the imperial family, including Prince Fushimi Sadanaru.
-
D.
Otozō
Otozō is a Japanese given name most notably borne by Otozō Yamada, an Imperial Japanese Army general during World War II.
-
E.
Takayoshi
Takayoshi is a Japanese given name notably borne by Kido Takayoshi, a key samurai and statesman of the Meiji Restoration.
- 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: Atan-Ota Triple: [Ado-Odo/Ota, hasMajorTown, Atan-Ota]
Generated description
Atan-Ota is a prominent town in Ogun State, southwestern Nigeria, known as one of the key urban centers within the Ado-Odo/Ota local government area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Atan-Ota Target entity description: Atan-Ota is a prominent town in Ogun State, southwestern Nigeria, known as one of the key urban centers within the Ado-Odo/Ota local government area.
-
A.
Enyō
Enyō is a minor Greek goddess associated with war, destruction, and the bloody chaos of battle, often depicted as a companion of Ares.
-
B.
Genshō
Genshō was an 8th-century Japanese empress who ruled during the Nara period and is known for continuing the centralizing reforms of her predecessors.
-
C.
Sadanaru
Sadanaru is a Japanese given name historically borne by members of the imperial family, including Prince Fushimi Sadanaru.
-
D.
Otozō
Otozō is a Japanese given name most notably borne by Otozō Yamada, an Imperial Japanese Army general during World War II.
-
E.
Takayoshi
Takayoshi is a Japanese given name notably borne by Kido Takayoshi, a key samurai and statesman of the Meiji Restoration.
- 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_69d7bdf084148190ab9d513dc0735af4 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96208fa6481909d6fd43654752a2d |
completed | April 10, 2026, 8:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f671b8f43081909d4a8e4241c813a1 |
completed | May 2, 2026, 9:50 p.m. |
| NEDg | Description generation | batch_69f672ac07908190bd2dfe90d55a13c1 |
completed | May 2, 2026, 9:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f67360b530819085d5db2aa0b7513d |
completed | May 2, 2026, 9:57 p.m. |
Created at: April 9, 2026, 5:23 p.m.