Triple

T22524291
Position Surface form Disambiguated ID Type / Status
Subject Central Highlands of Madagascar E556859 entity
Predicate contains P35 FINISHED
Object Betafo
Betafo is a town in Madagascar known for its terraced rice paddies, volcanic landscapes, and hot springs in the island’s central highlands.
 E1541084 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: Betafo | Statement: [Central Highlands of Madagascar, contains, Betafo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Betafo
Context triple: [Central Highlands of Madagascar, contains, Betafo]
  • A. Baflo
    Baflo is a village in the Dutch province of Groningen, known for its historic church and rural character.
  • B. Kofo
    Kofo is a music producer known for working on Wizkid’s album "More Love, Less Ego."
  • C. Betaab
    Betaab is a popular 1983 Hindi romantic action film that helped launch Sunny Deol and Amrita Singh to stardom in Bollywood.
  • D. Booberoi
    Booberoi is a rural locality within Carrathool Shire in New South Wales, Australia.
  • E. Bohrok
    Bohrok are a swarm of mechanical, insect-like creatures from the LEGO Bionicle universe known for their role as relentless antagonists capable of “cleansing” entire islands.
  • 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: Betafo
Triple: [Central Highlands of Madagascar, contains, Betafo]
Generated description
Betafo is a town in Madagascar known for its terraced rice paddies, volcanic landscapes, and hot springs in the island’s central highlands.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Betafo
Target entity description: Betafo is a town in Madagascar known for its terraced rice paddies, volcanic landscapes, and hot springs in the island’s central highlands.
  • A. Baflo
    Baflo is a village in the Dutch province of Groningen, known for its historic church and rural character.
  • B. Kofo
    Kofo is a music producer known for working on Wizkid’s album "More Love, Less Ego."
  • C. Betaab
    Betaab is a popular 1983 Hindi romantic action film that helped launch Sunny Deol and Amrita Singh to stardom in Bollywood.
  • D. Booberoi
    Booberoi is a rural locality within Carrathool Shire in New South Wales, Australia.
  • E. Bohrok
    Bohrok are a swarm of mechanical, insect-like creatures from the LEGO Bionicle universe known for their role as relentless antagonists capable of “cleansing” entire islands.
  • 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_69e11e5657e881909f16ca58352c50da completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15e34590c81909e4ed1c95f13a199 completed April 29, 2026, 1:26 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b17f6622081909c195f490358715d completed May 18, 2026, 1:45 p.m.
NEDg Description generation batch_6a0b1a1f6af481909c403bc5a662bc1d completed May 18, 2026, 1:54 p.m.
NED2 Entity disambiguation (via description) batch_6a0b1a73d5248190b4c96165770824e0 completed May 18, 2026, 1:56 p.m.
Created at: April 16, 2026, 8:51 p.m.