Triple

T1169565
Position Surface form Disambiguated ID Type / Status
Subject ALS E24881 entity
Predicate hasCommonInitialPresentation P24574 FINISHED
Object asymmetric limb weakness 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: asymmetric limb weakness | Statement: [ALS, hasCommonInitialPresentation, asymmetric limb weakness]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCommonInitialPresentation
Context triple: [ALS, hasCommonInitialPresentation, asymmetric limb weakness]
  • A. hasInitial
    Indicates that one entity possesses or is associated with the first letter or starting character of another entity’s name or value.
  • B. hasCommonValue
    Indicates that two or more entities share at least one identical value or attribute in common.
  • C. hasRepresentationIn
    Indicates that one entity is represented, depicted, or encoded within another entity, such as a concept, object, or data structure having a corresponding representation in a specific medium or context.
  • D. meetsInPresenceOf
    Indicates that two or more entities meet or interact while another specified entity is present as a witness, chaperone, or contextual participant.
  • E. presentedBy
    Indicates that something (such as an event, performance, or work) is formally organized, hosted, or introduced by a particular person or entity.
  • F. None of above. chosen

Provenance (4 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_69a494082a7c819095004f423f294a64 completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bce821b481908bc278a3fa7973f4 completed March 1, 2026, 10:25 p.m.
PD Predicate disambiguation batch_69a4bb5656948190b0b1d5446ad06005 completed March 1, 2026, 10:19 p.m.
PDg Predicate description generation batch_69a4bbd7ff1881908c943ecdfea59e81 completed March 1, 2026, 10:21 p.m.
Created at: March 1, 2026, 7:45 p.m.