Triple

T6694952
Position Surface form Disambiguated ID Type / Status
Subject Phalangeriformes E152724 entity
Predicate hasLowerIncisors P35359 FINISHED
Object two large forward‑projecting lower incisors (diprotodont dentition) in most species LITERAL 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: two large forward‑projecting lower incisors (diprotodont dentition) in most species | Statement: [Phalangeriformes, hasLowerIncisors, two large forward‑projecting lower incisors (diprotodont dentition) in most species]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasLowerIncisors
Context triple: [Phalangeriformes, hasLowerIncisors, two large forward‑projecting lower incisors (diprotodont dentition) in most species]
  • A. hasTeeth
    Indicates that one entity possesses teeth as a physical feature.
  • B. incisorCount
    Indicates the number of incisor teeth an entity has.
  • C. dentition chosen
    Indicates the type, arrangement, or condition of teeth that an entity possesses.
  • D. hasLowerBarLength
    Indicates that one entity’s bar length is shorter than the bar length of another entity.
  • E. hasMandibles
    Indicates that an entity possesses mandibles, i.e., jaw-like mouthparts used for biting, cutting, or holding.
  • F. None of above.

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_69c6880687b08190805278b504d1c92c completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6b5ed99e48190970805225458ce82 completed March 27, 2026, 4:53 p.m.
PD Predicate disambiguation batch_69c6ad0e1d348190af1762ea1951038e completed March 27, 2026, 4:15 p.m.
Created at: March 27, 2026, 2:05 p.m.