Triple

T1287462
Position Surface form Disambiguated ID Type / Status
Subject baiji E27467 entity
Predicate class P87 FINISHED
Object Mammalia E145943 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: Mammalia | Statement: [baiji, class, Mammalia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mammalia
Context triple: [baiji, class, Mammalia]
  • A. Mammalia chosen
    Mammalia is the vertebrate class of warm-blooded, typically fur-bearing animals that nourish their young with milk produced by mammary glands.
  • B. Eutheria
    Eutheria is a major clade of mammals that includes all placental mammals and their extinct relatives, characterized by prolonged gestation and complex placental development.
  • C. Carnivora
    Carnivora is a diverse order of primarily meat-eating mammals that includes families such as bears, cats, dogs, weasels, and seals.
  • D. Artiodactyla
    Artiodactyla is a large order of even-toed hoofed mammals that includes animals such as deer, cattle, pigs, and camels.
  • E. Rodentia
    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.
  • 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_69a496d4ec448190ad653b2590c46711 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c0d1a5508190b4461df77f560df4 completed March 1, 2026, 10:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69acacba08f881909230c2d9459d4bc4 completed March 7, 2026, 10:54 p.m.
Created at: March 1, 2026, 7:51 p.m.