Triple

T13659082
Position Surface form Disambiguated ID Type / Status
Subject Baruten E326937 entity
Predicate hasCommonLanguage P741 FINISHED
Object Baatonun
Baatonun is a Gur language spoken primarily by the Bariba (Baatombu) people in parts of Benin and neighboring West African regions.
E1055793 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: Baatonun | Statement: [Baruten, hasCommonLanguage, Baatonun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Baatonun
Context triple: [Baruten, hasCommonLanguage, Baatonun]
  • A. Batabanó
    Batabanó is a coastal municipality in western Cuba known for its fishing industry and ferry connections to nearby islands.
  • B. Bati-an
    Bati-an is a barangay (village-level administrative division) within the municipality of Maitum in the province of Sarangani, Philippines.
  • C. Babatngon
    Babatngon is a coastal municipality in the province of Leyte in the Philippines, known for its fishing industry and rural communities.
  • D. Bantay
    Bantay is a historic municipality in Ilocos Sur, Philippines, known for its centuries-old church and iconic bell tower overlooking the town.
  • E. Guanito
    Guanito is a rural municipal district within the San Juan de la Maguana municipality in the San Juan Province of the Dominican Republic.
  • 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: Baatonun
Triple: [Baruten, hasCommonLanguage, Baatonun]
Generated description
Baatonun is a Gur language spoken primarily by the Bariba (Baatombu) people in parts of Benin and neighboring West African regions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Baatonun
Target entity description: Baatonun is a Gur language spoken primarily by the Bariba (Baatombu) people in parts of Benin and neighboring West African regions.
  • A. Batabanó
    Batabanó is a coastal municipality in western Cuba known for its fishing industry and ferry connections to nearby islands.
  • B. Bati-an
    Bati-an is a barangay (village-level administrative division) within the municipality of Maitum in the province of Sarangani, Philippines.
  • C. Babatngon
    Babatngon is a coastal municipality in the province of Leyte in the Philippines, known for its fishing industry and rural communities.
  • D. Bantay
    Bantay is a historic municipality in Ilocos Sur, Philippines, known for its centuries-old church and iconic bell tower overlooking the town.
  • E. Guanito
    Guanito is a rural municipal district within the San Juan de la Maguana municipality in the San Juan Province of the Dominican Republic.
  • 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_69d8076d8270819092afc2f0e9c359a8 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc61f0d808190b1cd2a6ba0d930eb completed April 12, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f794395618819094a7f0ffcf5d3fb6 completed May 3, 2026, 6:30 p.m.
NEDg Description generation batch_69f7986b9a1c8190b88634af9fc11ebe completed May 3, 2026, 6:48 p.m.
NED2 Entity disambiguation (via description) batch_69f798d7e1a0819087332287d5f9a25f completed May 3, 2026, 6:50 p.m.
Created at: April 9, 2026, 9:52 p.m.