Triple
T13308081
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sharpless asymmetric dihydroxylation |
E316987
|
entity |
| Predicate | addsNumberOfHydroxylGroups |
P109441
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [Sharpless asymmetric dihydroxylation, addsNumberOfHydroxylGroups, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: addsNumberOfHydroxylGroups Context triple: [Sharpless asymmetric dihydroxylation, addsNumberOfHydroxylGroups, 2]
-
A.
hasNeutralHydrogenMass
Indicates that an entity possesses a specified amount of mass in the form of neutral (non-ionized) hydrogen.
-
B.
containsNeutralHydrogen
Indicates that one entity has within it or is composed of neutral (non-ionized) hydrogen associated with the other entity.
-
C.
isHydrophilic
Indicates that something has an affinity for water, tending to interact with or dissolve in it rather than repel it.
-
D.
averageHydrogenNumberDensity
Indicates the mean number of hydrogen atoms per unit volume within a specified region or system.
-
E.
hasTypicalOxidationState
Indicates that an element or species is associated with a commonly observed or characteristic oxidation state under standard or typical conditions.
- 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_69d806b40ab4819094adf6c374f4811a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99cfdc9388190af1fdd3cd4717bd8 |
completed | April 11, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69d98f6893708190aeebf4c47386cff7 |
completed | April 11, 2026, 12:01 a.m. |
| PDg | Predicate description generation | batch_69d99cf7f9c48190a6a4f452b4a2aefa |
completed | April 11, 2026, 12:59 a.m. |
Created at: April 9, 2026, 9:29 p.m.