Triple
T28572716
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bechamp reduction |
E723154
|
entity |
| Predicate | stoichiometryFeature |
P164647
|
FINISHED |
| Object | requires excess iron |
—
|
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: requires excess iron | Statement: [Bechamp reduction, stoichiometryFeature, requires excess iron]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stoichiometryFeature Context triple: [Bechamp reduction, stoichiometryFeature, requires excess iron]
-
A.
hasChemicalFormula
Indicates that one entity (typically a chemical substance) is characterized by or associated with a specific chemical formula representing its elemental composition.
-
B.
chemicalComponent
Indicates that one entity is a constituent chemical part or ingredient of another entity.
-
C.
chemicalForm
Indicates the specific chemical composition or structural variant that characterizes a substance in a given context.
-
D.
hasFormalOxidationStateOfMetal
Indicates that a metal entity is assigned a specific formal oxidation state in a chemical context.
-
E.
oxidationStates
Indicates the specific oxidation numbers assigned to an element or atom within a chemical species, reflecting its electron loss or gain state in that context.
- 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_69f01d7e97708190ae9e77ee66a68abd |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f65093d9488190bc1e5c562b58f1e5 |
completed | May 2, 2026, 7:29 p.m. |
| PD | Predicate disambiguation | batch_69f64cb0d8008190912e1430cfaf92aa |
completed | May 2, 2026, 7:12 p.m. |
| PDg | Predicate description generation | batch_69f64db8ee1881909362701d72ffe282 |
completed | May 2, 2026, 7:17 p.m. |
Created at: April 28, 2026, 4:10 a.m.