Triple

T1223325
Position Surface form Disambiguated ID Type / Status
Subject Tommy Atkins mango E26271 entity
Predicate hasDiseaseResistance P2081 FINISHED
Object good resistance to anthracnose 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: good resistance to anthracnose | Statement: [Tommy Atkins mango, hasDiseaseResistance, good resistance to anthracnose]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasDiseaseResistance
Context triple: [Tommy Atkins mango, hasDiseaseResistance, good resistance to anthracnose]
  • A. diseaseResistance chosen
    Indicates how effectively one entity can prevent, withstand, or recover from harmful effects caused by a particular disease or pathogen in relation to another.
  • B. droughtTolerance
    Indicates the degree to which an entity can maintain normal function and survival under conditions of limited water availability.
  • C. hasCultivar
    Indicates that one entity is a plant species or variety that possesses, includes, or is associated with a specific cultivated variety (cultivar) as another entity.
  • D. hasTargetDisease
    Indicates that an entity (such as a treatment, study, or intervention) is directed toward, intended to affect, or primarily concerned with a specified disease.
  • E. hardiness
    Indicates the degree to which an entity can withstand or endure harsh, adverse, or challenging conditions.
  • 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_69a49484688c8190a1bf285eb396a8b6 completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4be233fd88190996faf4105c0b8d7 completed March 1, 2026, 10:30 p.m.
PD Predicate disambiguation batch_69a4bb644af08190ba25905f20adb01a completed March 1, 2026, 10:19 p.m.
Created at: March 1, 2026, 7:47 p.m.