Triple

T12066979
Position Surface form Disambiguated ID Type / Status
Subject Babalú-Ayé E287321 entity
Predicate alsoKnownAs P39 FINISHED
Object Obaluaiê
Obaluaiê is an orixá in Afro-Brazilian and Yoruba-derived religions, revered as a powerful deity of disease, healing, and the earth.
E963232 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: Obaluaiê | Statement: [Babalú-Ayé, alsoKnownAs, Obaluaiê]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Obaluaiê
Context triple: [Babalú-Ayé, alsoKnownAs, Obaluaiê]
  • A. Nabaloi
    Nabaloi is an Austronesian language spoken by the Ibaloi people of the northern Philippines, particularly in the Benguet region of Luzon.
  • B. Opebi
    Opebi is a commercial and residential neighborhood in Lagos, Nigeria, known for its busy Opebi Road, offices, shops, and proximity to major hubs in Ikeja.
  • C. Agulu
    Agulu is a town in southeastern Nigeria known for its large natural lake and location within Anambra State.
  • D. Beni
    Beni is a town in western Nepal that serves as a gateway to the Dhaulagiri and Annapurna mountain regions.
  • E. Beni
    Beni is a sparsely populated, largely Amazonian department in northeastern Bolivia known for its tropical lowlands, cattle ranching, and rich indigenous cultures.
  • 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: Obaluaiê
Triple: [Babalú-Ayé, alsoKnownAs, Obaluaiê]
Generated description
Obaluaiê is an orixá in Afro-Brazilian and Yoruba-derived religions, revered as a powerful deity of disease, healing, and the earth.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Obaluaiê
Target entity description: Obaluaiê is an orixá in Afro-Brazilian and Yoruba-derived religions, revered as a powerful deity of disease, healing, and the earth.
  • A. Nabaloi
    Nabaloi is an Austronesian language spoken by the Ibaloi people of the northern Philippines, particularly in the Benguet region of Luzon.
  • B. Opebi
    Opebi is a commercial and residential neighborhood in Lagos, Nigeria, known for its busy Opebi Road, offices, shops, and proximity to major hubs in Ikeja.
  • C. Agulu
    Agulu is a town in southeastern Nigeria known for its large natural lake and location within Anambra State.
  • D. Beni
    Beni is a sparsely populated, largely Amazonian department in northeastern Bolivia known for its tropical lowlands, cattle ranching, and rich indigenous cultures.
  • E. Beni
    Beni is a city in the eastern Democratic Republic of the Congo that became internationally known as a major hotspot of conflict and public health crises, including serving as the epicenter of the 2018–2020 Kivu Ebola epidemic.
  • 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_69d6ab4846e081908ee7bbd66a6d3459 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d904423dc08190a47194422255c62e completed April 10, 2026, 2:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f658bb38819097547d392fcc5405 completed May 2, 2026, 1:04 p.m.
NEDg Description generation batch_69f5fde880f4819094b2170bf4e82138 completed May 2, 2026, 1:36 p.m.
NED2 Entity disambiguation (via description) batch_69f5ffc2cfd08190b87eccd3a73afc77 completed May 2, 2026, 1:44 p.m.
Created at: April 8, 2026, 9:48 p.m.