Triple

T15913924
Position Surface form Disambiguated ID Type / Status
Subject Rapetosaurus E385920 entity
Predicate namedAfter P63 FINISHED
Object Rapeto
Rapeto is a figure from Malagasy folklore whose name was used to inspire the dinosaur genus Rapetosaurus.
E1182656 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: Rapeto | Statement: [Rapetosaurus, namedAfter, Rapeto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rapeto
Context triple: [Rapetosaurus, namedAfter, Rapeto]
  • A. Anjara
    Anjara is a town in northern Jordan situated within the hilly, forested region of Ajloun, known for its Christian pilgrimage sites and scenic landscapes.
  • B. Rahaita
    Rahaita is a settlement located in Eritrea's Southern Red Sea Region, along the country's arid Red Sea coastal area.
  • C. Ptisana
    Ptisana is a genus of tropical ferns in the family Marattiaceae, characterized by large, often highly divided fronds and a preference for humid, shaded habitats.
  • D. Abamakoro
    Abamakoro is a small village located on the island of Nonouti in the Republic of Kiribati in the central Pacific Ocean.
  • E. Belo-sur-Tsiribihina
    Belo-sur-Tsiribihina is a small town in western Madagascar that serves as a common gateway for river trips and access to the nearby Tsingy de Bemaraha National Park.
  • 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: Rapeto
Triple: [Rapetosaurus, namedAfter, Rapeto]
Generated description
Rapeto is a figure from Malagasy folklore whose name was used to inspire the dinosaur genus Rapetosaurus.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Rapeto
Target entity description: Rapeto is a figure from Malagasy folklore whose name was used to inspire the dinosaur genus Rapetosaurus.
  • A. Anjara
    Anjara is a town in northern Jordan situated within the hilly, forested region of Ajloun, known for its Christian pilgrimage sites and scenic landscapes.
  • B. Rahaita
    Rahaita is a settlement located in Eritrea's Southern Red Sea Region, along the country's arid Red Sea coastal area.
  • C. Ptisana
    Ptisana is a genus of tropical ferns in the family Marattiaceae, characterized by large, often highly divided fronds and a preference for humid, shaded habitats.
  • D. Abamakoro
    Abamakoro is a small village located on the island of Nonouti in the Republic of Kiribati in the central Pacific Ocean.
  • E. Belo-sur-Tsiribihina
    Belo-sur-Tsiribihina is a small town in western Madagascar that serves as a common gateway for river trips and access to the nearby Tsingy de Bemaraha National Park.
  • 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_69d86da686e4819097cbf3b1fc2d881d completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e15661046c819097a53de2a3e0443b completed April 16, 2026, 9:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb0592b5c8190a4597644864a6bcb completed May 9, 2026, 10:08 p.m.
NEDg Description generation batch_69ffb0ef7f3081908744a759bb3e4e8c completed May 9, 2026, 10:10 p.m.
NED2 Entity disambiguation (via description) batch_69ffb1dbd7d08190b84ae201e0866139 completed May 9, 2026, 10:14 p.m.
Created at: April 10, 2026, 4:52 a.m.