Triple
T23347151
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | buckminsterfullerene |
E591897
|
entity |
| Predicate | isPoorlySolubleIn |
P52266
|
FINISHED |
| Object | water |
—
|
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: water | Statement: [buckminsterfullerene, isPoorlySolubleIn, water]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPoorlySolubleIn Context triple: [buckminsterfullerene, isPoorlySolubleIn, water]
-
A.
solubilityInWater
chosen
Indicates how readily a substance dissolves in water under specified conditions.
-
B.
canBeDissolvedWith
Indicates that one entity is capable of being dissolved or broken down when exposed to another specified substance or medium.
-
C.
canDissolveWith
Indicates that one substance is capable of dissolving another substance when they are combined.
-
D.
largelyDissolvedBy
Indicates that one entity is mostly broken down, disintegrated, or brought into solution by another entity, though not necessarily completely.
-
E.
isProdrugOf
Indicates that one substance is a precursor form that is metabolized in the body to produce the active form of another substance.
- 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_69e25d20e3d08190bcede87673cafb25 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f19837874481908f1a530261a34819 |
completed | April 29, 2026, 5:33 a.m. |
| PD | Predicate disambiguation | batch_69effcfd8d288190937a887fe6023c11 |
completed | April 28, 2026, 12:19 a.m. |
Created at: April 17, 2026, 5:19 p.m.