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.