Triple

T12319246
Position Surface form Disambiguated ID Type / Status
Subject Pyrus calleryana E293684 entity
Predicate genus P87 FINISHED
Object Pyrus E56514 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: Pyrus | Statement: [Pyrus calleryana, genus, Pyrus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pyrus
Context triple: [Pyrus calleryana, genus, Pyrus]
  • A. Pyrus chosen
    Pyrus is a genus of flowering plants best known for including the cultivated pear trees that produce edible pears.
  • B. Pêra
    Pêra is a small village in Portugal’s Algarve region, known for its traditional architecture and proximity to popular coastal and tourist areas.
  • C. Aplu
    Aplu is an Etruscan deity closely associated with the Greek god Apollo, linked to prophecy, healing, and possibly plague.
  • D. Malus
    Malus is a genus of deciduous trees and shrubs in the rose family best known for cultivated apples and ornamental crabapples.
  • E. Naran
    Naran is a popular mountain resort town and tourist destination in northern Pakistan, known for its scenic valleys, rivers, and access to sites like Lake Saif-ul-Malook.
  • 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_69d6ab6ae0dc8190b1522a9c1c55c114 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f4ab1b88190979a8403a430a17c completed April 10, 2026, 6:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e88a1348190a04c21b24e1ba2b5 completed May 2, 2026, 3:55 p.m.
Created at: April 8, 2026, 9:53 p.m.