Triple
T16279325
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barton–McCombie deoxygenation |
E395221
|
entity |
| Predicate | usesHydrogenAtomDonor |
P122497
|
FINISHED |
| Object | tributyltin hydride |
—
|
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: tributyltin hydride | Statement: [Barton–McCombie deoxygenation, usesHydrogenAtomDonor, tributyltin hydride]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesHydrogenAtomDonor Context triple: [Barton–McCombie deoxygenation, usesHydrogenAtomDonor, tributyltin hydride]
-
A.
containsNeutralHydrogen
Indicates that one entity has within it or is composed of neutral (non-ionized) hydrogen associated with the other entity.
-
B.
isHydrophobic
Indicates that one entity has a tendency to repel or avoid interaction with water or aqueous environments.
-
C.
isHydrophilic
Indicates that something has an affinity for water, tending to interact with or dissolve in it rather than repel it.
-
D.
hasNeutralHydrogenEnvelope
Indicates that an object is surrounded by an extended region or layer composed primarily of neutral (non-ionized) hydrogen gas.
-
E.
hasNeutralHydrogenMass
Indicates that an entity possesses a specified amount of mass in the form of neutral (non-ionized) hydrogen.
- 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_69d87f22c7248190a54c949738441e2e |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e24610908c8190921e507dcb4d8250 |
completed | April 17, 2026, 2:39 p.m. |
| PD | Predicate disambiguation | batch_69e219f68d308190b71c1601303f0628 |
completed | April 17, 2026, 11:31 a.m. |
| PDg | Predicate description generation | batch_69e21e56e0348190a3d9475360231a70 |
completed | April 17, 2026, 11:49 a.m. |
Created at: April 10, 2026, 5:05 a.m.