Triple
T768531
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Silver |
E16227
|
entity |
| Predicate | oxidationStates |
P19722
|
FINISHED |
| Object | +1 |
—
|
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: +1 | Statement: [Silver, oxidationStates, +1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oxidationStates Context triple: [Silver, oxidationStates, +1]
-
A.
hasAtomicNumber
Indicates that one entity is the chemical element whose atomic number (number of protons in its nucleus) is given by the other entity.
-
B.
oxidizer
Indicates a relationship where one entity acts as an oxidizing agent that accepts electrons from, or promotes the oxidation of, another entity in a chemical process.
-
C.
isMostCommonElectronegativityScale
Indicates that the referenced electronegativity scale is the one most widely used or prevalent compared to other electronegativity scales.
-
D.
hasProtonNumber
Indicates that an entity (typically a chemical element or atom) possesses a specific number of protons in its nucleus.
-
E.
physicalStateAtRoomTemperature
Indicates the physical state or phase (solid, liquid, gas, etc.) that an entity has when it is at standard room temperature.
- 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_69a49369a0848190af883934cee3db4c |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a765ba688190ab328bb159583077 |
completed | March 1, 2026, 8:53 p.m. |
| PD | Predicate disambiguation | batch_69a4a5074c788190a74fc20ad24e2d26 |
completed | March 1, 2026, 8:43 p.m. |
| PDg | Predicate description generation | batch_69a4a7648a6c8190a9051a3d177ff7e2 |
completed | March 1, 2026, 8:53 p.m. |
Created at: March 1, 2026, 7:37 p.m.