Triple

T20125735
Position Surface form Disambiguated ID Type / Status
Subject Fentanyl E490748 entity
Predicate hasAnalog P138778 FINISHED
Object carfentanil 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: carfentanil | Statement: [Fentanyl, hasAnalog, carfentanil]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasAnalog
Context triple: [Fentanyl, hasAnalog, carfentanil]
  • A. isAnalogOrDigital
    Indicates whether something operates using analog signals/representation or digital signals/representation.
  • B. hasAnalogInputChannels
    Indicates that an entity is equipped with one or more channels capable of receiving analog input signals.
  • C. supportsAnalogOnly
    Indicates that the subject provides or is compatible only with analog functionality, and does not support any digital capabilities.
  • D. usedAsAnalogFor
    Indicates that one entity is employed as a comparison or illustrative counterpart to help explain, represent, or understand another entity.
  • E. hasDigitalSystem
    Indicates that an entity possesses, uses, or is equipped with a digital system (such as software, hardware, or an integrated digital platform).
  • 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_69da62651a0c8190a3e05e95e056a66b completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e6674223008190827c454fe7ac86f4 completed April 20, 2026, 5:49 p.m.
PD Predicate disambiguation batch_69e54cfb0d0081908e789b9b57e96668 completed April 19, 2026, 9:45 p.m.
PDg Predicate description generation batch_69e54fc2bc3c819088c33cd263303433 completed April 19, 2026, 9:57 p.m.
Created at: April 11, 2026, 11:31 p.m.