Triple

T32170136
Position Surface form Disambiguated ID Type / Status
Subject Hemlibra E821686 entity
Predicate hasBispecificity P178638 FINISHED
Object factor IXa-binding 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: factor IXa-binding | Statement: [Hemlibra, hasBispecificity, factor IXa-binding]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasBispecificity
Context triple: [Hemlibra, hasBispecificity, factor IXa-binding]
  • A. isBicolor
    Indicates that something consists of or displays two distinct colors.
  • B. hasBiosimilar
    Indicates that one biological product is a biosimilar counterpart to another reference biological product.
  • C. hasBondType
    Indicates the specific kind of bond or connection that exists between two related entities.
  • D. hasTwinFeature
    Indicates that two entities share an identical or nearly identical feature, characteristic, or component, as if they are twins in that respect.
  • E. hasBalancerChromosomes
    Indicates that an organism or genetic sample possesses balancer chromosomes used to maintain specific genetic configurations or prevent recombination.
  • 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_69f3490699a48190bbef96b198e8fade completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f7117e55908190a67105e92bc4830f completed May 3, 2026, 9:12 a.m.
PD Predicate disambiguation batch_69f70f380690819090cc34763ba460ed completed May 3, 2026, 9:02 a.m.
PDg Predicate description generation batch_69f7117cf2188190b29e36fc1e342c60 completed May 3, 2026, 9:12 a.m.
Created at: May 1, 2026, 12:33 a.m.