Triple
T6022055
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ala |
E134086
|
entity |
| Predicate | hasTitle |
P38
|
FINISHED |
| Object |
Ala Ndigbo
Ala Ndigbo is the earth goddess and principal deity in Igbo traditional religion, embodying fertility, morality, and the ancestral land of the Igbo people.
|
E560888
|
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: Ala Ndigbo | Statement: [Ala, hasTitle, Ala Ndigbo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ala Ndigbo Context triple: [Ala, hasTitle, Ala Ndigbo]
-
A.
Arugba
Arugba is the virgin priestess who carries sacrificial offerings to the Osun River during the annual Osun-Osogbo Festival in Nigeria.
-
B.
Akwanga
Akwanga is a town and administrative center in central Nigeria known for its role as a commercial and educational hub in Nasarawa State.
-
C.
Ndowe
Ndowe is a Bantu language spoken by the Ndowe people along the coastal region of Equatorial Guinea.
-
D.
Dutsin-Ma
Dutsin-Ma is a town in northern Nigeria known for hosting the Federal University Dutsin-Ma and serving as an important local commercial and educational center.
-
E.
Njuká
Njuká is an alternative name for the Ndyuka language, a creole spoken primarily by the Ndyuka Maroon community in Suriname and French Guiana.
- 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: Ala Ndigbo Triple: [Ala, hasTitle, Ala Ndigbo]
Generated description
Ala Ndigbo is the earth goddess and principal deity in Igbo traditional religion, embodying fertility, morality, and the ancestral land of the Igbo people.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ala Ndigbo Target entity description: Ala Ndigbo is the earth goddess and principal deity in Igbo traditional religion, embodying fertility, morality, and the ancestral land of the Igbo people.
-
A.
Arugba
Arugba is the virgin priestess who carries sacrificial offerings to the Osun River during the annual Osun-Osogbo Festival in Nigeria.
-
B.
Akwanga
Akwanga is a town and administrative center in central Nigeria known for its role as a commercial and educational hub in Nasarawa State.
-
C.
Ndowe
Ndowe is a Bantu language spoken by the Ndowe people along the coastal region of Equatorial Guinea.
-
D.
Dutsin-Ma
Dutsin-Ma is a town in northern Nigeria known for hosting the Federal University Dutsin-Ma and serving as an important local commercial and educational center.
-
E.
Njuká
Njuká is an alternative name for the Ndyuka language, a creole spoken primarily by the Ndyuka Maroon community in Suriname and French Guiana.
- 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_69c008742a5c8190b9cb9c2787a3d8b3 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04fbbf03c8190baf449a5d393af5c |
completed | March 22, 2026, 8:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c108c2e1c88190a1629c6438f6c8bd |
completed | March 23, 2026, 9:32 a.m. |
| NEDg | Description generation | batch_69c1096d5f2881909126730848ca0e78 |
completed | March 23, 2026, 9:35 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c10b2699088190a468989beded758e |
completed | March 23, 2026, 9:43 a.m. |
Created at: March 22, 2026, 4:07 p.m.