Triple
T2887159
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cross River State |
E59533
|
entity |
| Predicate | hasMajorTown |
P316
|
FINISHED |
| Object |
Ikom
Ikom is a prominent commercial and administrative town in southeastern Nigeria known for its cocoa production and strategic location near the Cameroon border.
|
E306871
|
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: Ikom | Statement: [Cross River State, hasMajorTown, Ikom]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ikom Context triple: [Cross River State, hasMajorTown, Ikom]
-
A.
Ikoma
Ikoma is a city in Japan known for its scenic setting on the slopes of Mount Ikoma and its role as a residential and commuter hub near Osaka and Nara.
-
B.
Kamiyama
Kamiyama is a Japanese surname borne by various individuals, including artists, athletes, and public figures.
-
C.
Kumiai
Kumiai is an indigenous Yuman language spoken by the Kumeyaay people in the border region of southern California and northern Baja California.
-
D.
Asokoro
Asokoro is an upscale residential and administrative district in Abuja, Nigeria, known for hosting many government institutions, embassies, and high-profile residents.
-
E.
Kubashima
Kubashima is one of the small, uninhabited islets that make up the disputed Senkaku Islands in the East China Sea.
- 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: Ikom Triple: [Cross River State, hasMajorTown, Ikom]
Generated description
Ikom is a prominent commercial and administrative town in southeastern Nigeria known for its cocoa production and strategic location near the Cameroon border.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ikom Target entity description: Ikom is a prominent commercial and administrative town in southeastern Nigeria known for its cocoa production and strategic location near the Cameroon border.
-
A.
Ikoma
Ikoma is a city in Japan known for its scenic setting on the slopes of Mount Ikoma and its role as a residential and commuter hub near Osaka and Nara.
-
B.
Kamiyama
Kamiyama is a Japanese surname borne by various individuals, including artists, athletes, and public figures.
-
C.
Kumiai
Kumiai is an indigenous Yuman language spoken by the Kumeyaay people in the border region of southern California and northern Baja California.
-
D.
Asokoro
Asokoro is an upscale residential and administrative district in Abuja, Nigeria, known for hosting many government institutions, embassies, and high-profile residents.
-
E.
Kubashima
Kubashima is one of the small, uninhabited islets that make up the disputed Senkaku Islands in the East China Sea.
- 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_69ab4ac739188190a112f42a5a69c951 |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abe047aa7c8190a0ed570c13f3a1a2 |
completed | March 7, 2026, 8:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b031713e14819098db4cfaaea74f73 |
completed | March 10, 2026, 2:57 p.m. |
| NEDg | Description generation | batch_69b0332021048190a846847e17ccf6f2 |
completed | March 10, 2026, 3:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b0340e559081909e06d5383eca3019 |
completed | March 10, 2026, 3:09 p.m. |
Created at: March 6, 2026, 10:03 p.m.