Triple

T17329859
Position Surface form Disambiguated ID Type / Status
Subject Incilius E420784 entity
Predicate order P568 FINISHED
Object Anura NE ONNED1

How this triple was built (2 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: Anura | Statement: [Incilius, order, Anura]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anura
Context triple: [Incilius, order, Anura]
  • A. Anura
    Anura is a masculine given name commonly used in Sri Lanka and other South Asian countries.
  • B. Anura chosen
    Anura is the biological order of amphibians commonly known as frogs and toads, characterized by their tailless bodies, long hind limbs, and typically jumping locomotion.
  • C. Garsaura
    Garsaura was an ancient settlement in central Anatolia, known as the historical predecessor of the modern Turkish city of Aksaray.
  • D. Nalini
    Nalini is an Indian senior advocate and prominent lawyer, best known for her work in constitutional and criminal law and for being the wife of former Finance Minister P. Chidambaram.
  • E. Rana
    Rana is a large municipality in Nordland county, Norway, known for the town of Mo i Rana and its dramatic fjords, mountains, and caves just south of the Arctic Circle.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d889d3adc881909319f1edb8d2a956 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e439d50b308190a255874a9b8f3cd3 completed April 19, 2026, 2:11 a.m.
NED1 Entity disambiguation (via context triple) batch_6a019550d3bc8190bda76e83edc81063 finalizing May 11, 2026, 8:37 a.m.
Created at: April 10, 2026, 5:43 a.m.