Triple

T8467292
Position Surface form Disambiguated ID Type / Status
Subject Xerus E200195 entity
Predicate order P568 FINISHED
Object Rodentia E38903 NE FINISHED

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: Rodentia | Statement: [Xerus, order, Rodentia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rodentia
Context triple: [Xerus, order, Rodentia]
  • A. Rodentia chosen
    Rodentia is the largest order of mammals, comprising rodents such as mice, rats, squirrels, and beavers, characterized by a single pair of continuously growing incisors in each jaw.
  • B. Sciuromorpha
    Sciuromorpha is a rodent suborder that primarily includes squirrels and their close relatives, characterized by specialized jaw and skull adaptations for gnawing.
  • C. Sciuroidea
    Sciuroidea is a superfamily of rodents that includes squirrels, chipmunks, marmots, and their close relatives.
  • D. Cricetidae
    Cricetidae is a large family of rodents that includes hamsters, voles, lemmings, and many New World rats and mice.
  • E. Lagomorpha
    Lagomorpha is an order of mammals that includes rabbits, hares, and pikas, characterized by continuously growing incisors and powerful hind legs adapted for jumping.
  • 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_69ca831a4f348190bfdd09250e86ae35 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe4d2eb648190b606411eb6a8f7ea completed March 31, 2026, 3:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69cecc4897fc81908260bb77f8677d65 completed April 2, 2026, 8:06 p.m.
Created at: March 30, 2026, 6:11 p.m.