Triple
T26205027
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | norepinephrine |
E655337
|
entity |
| Predicate | hasLowAffinityFor |
P174235
|
FINISHED |
| Object | beta-2 adrenergic receptor |
—
|
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: beta-2 adrenergic receptor | Statement: [norepinephrine, hasLowAffinityFor, beta-2 adrenergic receptor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLowAffinityFor Context triple: [norepinephrine, hasLowAffinityFor, beta-2 adrenergic receptor]
-
A.
hasLow
Indicates that an entity possesses a value, level, or amount of something that is below a defined or expected threshold.
-
B.
possibleAffinity
Indicates a potential or likely positive relationship, attraction, or compatibility between two entities, without asserting that it is confirmed or realized.
-
C.
hasUncertainAffinityWith
Indicates a relationship where the strength, nature, or existence of affinity between two entities is unclear, variable, or not confidently established.
-
D.
hasLowForm
Indicates that an entity possesses a lower or less developed form, version, or level of something relative to a standard or comparison.
-
E.
hasLowDensity
Indicates that the subject possesses a density value that is below a defined or typical threshold.
- 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_69ee5b49adb4819086545280d4ef6337 |
completed | April 26, 2026, 6:36 p.m. |
| NER | Named-entity recognition | batch_69f6bcc425588190afd0dceba43ed79f |
completed | May 3, 2026, 3:11 a.m. |
| PD | Predicate disambiguation | batch_69f6ba6b1e6c8190adf9d6a257e0b744 |
completed | May 3, 2026, 3 a.m. |
| PDg | Predicate description generation | batch_69f6bbf5a8288190ae170bcbe8ab65cf |
completed | May 3, 2026, 3:07 a.m. |
Created at: April 26, 2026, 8:50 p.m.