Triple

T1295090
Position Surface form Disambiguated ID Type / Status
Subject Madagascar E27635 entity
Predicate highestPoint P210 FINISHED
Object Maromokotro
Maromokotro is the tallest mountain in Madagascar, located in the island’s northern highlands.
 E147401 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: Maromokotro | Statement: [Madagascar, highestPoint, Maromokotro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Maromokotro
Context triple: [Madagascar, highestPoint, Maromokotro]
  • A. Pararaton
    Pararaton is a Javanese historical chronicle, also known as the "Book of Kings," that narrates the legendary and political history of the Singhasari and Majapahit kingdoms in Indonesia.
  • B. Fampyra
    Fampyra is a prescription medication (prolonged-release fampridine) used to improve walking in adults with multiple sclerosis.
  • C. Murambi
    Murambi is a residential suburb of Mutare, a major city in eastern Zimbabwe.
  • D. Fagatogo
    Fagatogo is a coastal village on the island of Tutuila in American Samoa that serves as the territory’s main governmental and commercial center.
  • E. Negombo
    Negombo is a coastal city in western Sri Lanka known historically as a strategic colonial port and today for its fishing industry and beach tourism.
  • 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: Maromokotro
Triple: [Madagascar, highestPoint, Maromokotro]
Generated description
Maromokotro is the tallest mountain in Madagascar, located in the island’s northern highlands.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Maromokotro
Target entity description: Maromokotro is the tallest mountain in Madagascar, located in the island’s northern highlands.
  • A. Pararaton
    Pararaton is a Javanese historical chronicle, also known as the "Book of Kings," that narrates the legendary and political history of the Singhasari and Majapahit kingdoms in Indonesia.
  • B. Fampyra
    Fampyra is a prescription medication (prolonged-release fampridine) used to improve walking in adults with multiple sclerosis.
  • C. Murambi
    Murambi is a residential suburb of Mutare, a major city in eastern Zimbabwe.
  • D. Fagatogo
    Fagatogo is a coastal village on the island of Tutuila in American Samoa that serves as the territory’s main governmental and commercial center.
  • E. Negombo
    Negombo is a coastal city in western Sri Lanka known historically as a strategic colonial port and today for its fishing industry and beach tourism.
  • 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_69a496d6682881909ba658f1c1e0e2b0 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c0f4031481908f5e3a53d8a72929 completed March 1, 2026, 10:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69acacc1e7948190a1ecd240c751d258 completed March 7, 2026, 10:54 p.m.
NEDg Description generation batch_69acad6df8f08190bea3b43f15ef3a09 completed March 7, 2026, 10:57 p.m.
NED2 Entity disambiguation (via description) batch_69acadd171b08190a5454e75babd39a3 completed March 7, 2026, 10:59 p.m.
Created at: March 1, 2026, 7:51 p.m.