Triple

T10610110
Position Surface form Disambiguated ID Type / Status
Subject rimonabant E275982 entity
Predicate isHighlyProteinBound P37224 FINISHED
Object true 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: true | Statement: [rimonabant, isHighlyProteinBound, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isHighlyProteinBound
Context triple: [rimonabant, isHighlyProteinBound, true]
  • A. hasProteinBinding chosen
    Indicates that one entity is capable of physically binding to or interacting specifically with a protein.
  • B. isHydrophobic
    Indicates that one entity has a tendency to repel or avoid interaction with water or aqueous environments.
  • C. hasBioavailability
    Indicates that a substance has a specified degree or measure of bioavailability, i.e., the proportion that enters circulation and can have an active effect.
  • D. isPegylated
    Indicates that a molecule, typically a drug or therapeutic agent, has been chemically modified by the attachment of polyethylene glycol (PEG) chains.
  • E. hasBindingEnergy
    Indicates that one entity possesses or is characterized by a specific amount of binding energy associated with its formation or stability.
  • 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_69d6aaf948d88190806cc3a8c47a3fb2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d6df59468881909b0c67d3f08c4b76 completed April 8, 2026, 11:06 p.m.
PD Predicate disambiguation batch_69d6dd7a223c8190854409d76368f3e8 completed April 8, 2026, 10:58 p.m.
Created at: April 8, 2026, 7:32 p.m.