Triple
T16501628
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pyrantel pamoate |
E400813
|
entity |
| Predicate | hasCounterion |
P118640
|
FINISHED |
| Object | pamoate |
—
|
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: pamoate | Statement: [Pyrantel pamoate, hasCounterion, pamoate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCounterion Context triple: [Pyrantel pamoate, hasCounterion, pamoate]
-
A.
hasAnion
chosen
Indicates that one entity possesses, contains, or is associated with another entity functioning as its anion (negatively charged ion).
-
B.
hasCation
Indicates that something contains, is associated with, or involves a positively charged ion (cation) in its composition or structure.
-
C.
hasCounterSubject
Indicates that a subject is associated with another subject that serves as its counterpart, opposite, or contrasting entity in a given context.
-
D.
hasCounterpart
Indicates that one entity corresponds to, matches, or serves as an equivalent or parallel version of another entity.
-
E.
hasElectricCharge
Indicates that an entity possesses a nonzero electric charge as a physical property.
- 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_69d88381f6148190819958a038be990e |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32e4f7b7c8190adb5a113f798484f |
completed | April 18, 2026, 7:10 a.m. |
| PD | Predicate disambiguation | batch_69e296902d6c8190884ddb612b8c5b36 |
completed | April 17, 2026, 8:22 p.m. |
Created at: April 10, 2026, 5:14 a.m.