Triple

T2692179
Position Surface form Disambiguated ID Type / Status
Subject Haitian Vodou E58427 entity
Predicate hasPlaceOfWorship P1191 FINISHED
Object ounfò
An ounfò is a Haitian Vodou temple complex where rituals, ceremonies, and community spiritual activities are conducted.
 E289893 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: ounfò | Statement: [Haitian Vodou, hasPlaceOfWorship, ounfò]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ounfò
Context triple: [Haitian Vodou, hasPlaceOfWorship, ounfò]
  • A. UNON
    UNON is the United Nations Office at Nairobi, a major UN headquarters in Africa that hosts and supports numerous UN agencies and programs.
  • B. Vodun
    Vodun is a traditional West African religion centered on the worship of spirits and ancestors, particularly prominent in Benin and neighboring regions.
  • C. Fon
    Fon is a major Gbe language of West Africa, primarily spoken by the Fon people in Benin and neighboring countries.
  • D. Fa d’Ambô
    Fa d’Ambô is a Portuguese-based creole language spoken primarily on the island of Annobón in Equatorial Guinea.
  • E. UNTAET
    UNTAET (United Nations Transitional Administration in East Timor) was a UN peacekeeping and governance mission that administered East Timor during its transition to independence after the 1999 crisis.
  • 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: ounfò
Triple: [Haitian Vodou, hasPlaceOfWorship, ounfò]
Generated description
An ounfò is a Haitian Vodou temple complex where rituals, ceremonies, and community spiritual activities are conducted.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ounfò
Target entity description: An ounfò is a Haitian Vodou temple complex where rituals, ceremonies, and community spiritual activities are conducted.
  • A. UNON
    UNON is the United Nations Office at Nairobi, a major UN headquarters in Africa that hosts and supports numerous UN agencies and programs.
  • B. Vodun
    Vodun is a traditional West African religion centered on the worship of spirits and ancestors, particularly prominent in Benin and neighboring regions.
  • C. Fon
    Fon is a major Gbe language of West Africa, primarily spoken by the Fon people in Benin and neighboring countries.
  • D. Fa d’Ambô
    Fa d’Ambô is a Portuguese-based creole language spoken primarily on the island of Annobón in Equatorial Guinea.
  • E. UNTAET
    UNTAET (United Nations Transitional Administration in East Timor) was a UN peacekeeping and governance mission that administered East Timor during its transition to independence after the 1999 crisis.
  • 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_69ab4ac269e481909cb317d79e68b75b completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abda0dd97c81909a60cf200f57c087 completed March 7, 2026, 7:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69afaf6501088190b8fe1ba8de4f6e00 completed March 10, 2026, 5:43 a.m.
NEDg Description generation batch_69afb039cdcc8190953368c1f6757503 completed March 10, 2026, 5:46 a.m.
NED2 Entity disambiguation (via description) batch_69afb0c27ee48190a319fd2fab02f755 completed March 10, 2026, 5:48 a.m.
Created at: March 6, 2026, 9:54 p.m.