Triple
T33637282
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | idarucizumab |
E861730
|
entity |
| Predicate | hasBindingAffinity |
P167206
|
FINISHED |
| Object | very high affinity for dabigatran |
—
|
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: very high affinity for dabigatran | Statement: [idarucizumab, hasBindingAffinity, very high affinity for dabigatran]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBindingAffinity Context triple: [idarucizumab, hasBindingAffinity, very high affinity for dabigatran]
-
A.
isBindingIn
Indicates that one entity functions as a binding site or context in which another entity is bound or attached.
-
B.
hasAffinityType
chosen
Indicates that one entity has a specified type or category of affinity or preference toward another entity or concept.
-
C.
isInitiallyBoundWith
Indicates that two or more entities are connected, associated, or constrained together at the starting point of a process, state, or interaction.
-
D.
hasBindingEnergy
Indicates that one entity possesses or is characterized by a specific amount of binding energy associated with its formation or stability.
-
E.
areBoundFrom
Indicates that one entity is constrained, limited, or restricted starting from a specified point, source, or condition.
- 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_69f3498280c48190bcc3494017d14234 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7465687bc8190a9da44d62b634ed7 |
completed | May 3, 2026, 12:57 p.m. |
| PD | Predicate disambiguation | batch_69f743f4ceb08190a21fe7f4a99b166b |
completed | May 3, 2026, 12:47 p.m. |
Created at: May 1, 2026, 1:42 a.m.