Triple

T17940086
Position Surface form Disambiguated ID Type / Status
Subject Indian giant squirrel E448563 entity
Predicate genus P87 FINISHED
Object Ratufa NE NERFINISHED

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: Ratufa | Statement: [Indian giant squirrel, genus, Ratufa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ratufa
Context triple: [Indian giant squirrel, genus, Ratufa]
  • A. Ratufa chosen
    Ratufa is a genus of large, colorful Old World giant squirrels native to the forests of South and Southeast Asia.
  • B. Kabuna
    Kabuna is a small village located on Abemama Atoll in the island nation of Kiribati in the central Pacific Ocean.
  • C. Kabuna
    Kabuna is a small village located on the atoll of Tabiteuea in the island nation of Kiribati in the central Pacific Ocean.
  • D. Ratodero
    Ratodero is a town in Pakistan’s Sindh province that serves as an important local center within the Larkana District.
  • E. Kuno
    Kuno is the rebellious central character in E.M. Forster’s dystopian science fiction story "The Machine Stops," who challenges the oppressive, technology-dependent society in which he lives.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9f79d14819095540856928f0e25 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4ad9533688190bff773c183ed8505 completed April 19, 2026, 10:25 a.m.
Created at: April 10, 2026, 10:21 a.m.