Triple

T11074799
Position Surface form Disambiguated ID Type / Status
Subject APHINITY trial E261835 entity
Predicate controlRegimen P97064 FINISHED
Object trastuzumab plus chemotherapy 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: trastuzumab plus chemotherapy | Statement: [APHINITY trial, controlRegimen, trastuzumab plus chemotherapy]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: controlRegimen
Context triple: [APHINITY trial, controlRegimen, trastuzumab plus chemotherapy]
  • A. doseRegimen
    Indicates the specific schedule, frequency, and amount with which a dose of a substance or medication is to be administered.
  • B. hasDosingRegimen
    Indicates that an entity is associated with a specific dosing regimen, defining how and when a dose is to be administered.
  • C. regimenDependsOn
    Indicates that the applicability or outcome of a regimen is contingent upon another specified factor, condition, or regimen.
  • D. belongsToRegimen
    Indicates that something is a component or member of a specified regimen or structured treatment plan.
  • E. hasMaintenanceDose
    Indicates that an entity is associated with a specific ongoing dose used to maintain a desired therapeutic effect after initial treatment.
  • 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_69d6aa9983c08190b0ef61603b69feac completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7994efb608190a81bc8c4d16ddbd0 completed April 9, 2026, 12:19 p.m.
PD Predicate disambiguation batch_69d74415403c81909778bcd829e8832e completed April 9, 2026, 6:15 a.m.
PDg Predicate description generation batch_69d750ca52ec8190a559432a5de106fd completed April 9, 2026, 7:10 a.m.
Created at: April 8, 2026, 9:26 p.m.