Triple
T38211307
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Helmholtz free energy |
E1010551
|
entity |
| Predicate | perMoleForm |
P190292
|
FINISHED |
| Object | molar Helmholtz free energy |
—
|
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: molar Helmholtz free energy | Statement: [Helmholtz free energy, perMoleForm, molar Helmholtz free energy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: perMoleForm Context triple: [Helmholtz free energy, perMoleForm, molar Helmholtz free energy]
-
A.
chemicalForm
Indicates the specific chemical composition or structural variant that characterizes a substance in a given context.
-
B.
usesMolecule
Indicates that one entity employs or utilizes a particular molecule in performing an action, process, or function.
-
C.
dimensionOfAmountOfSubstance
Indicates the dimensional relationship that defines how an amount of substance is quantitatively characterized or measured.
-
D.
hasChemicalFormula
Indicates that one entity (typically a chemical substance) is characterized by or associated with a specific chemical formula representing its elemental composition.
-
E.
molarType
Indicates the specific classification or category of a molar within a dental or anatomical 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_69f76dcdc7708190a5f1751d53f40ffe |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fcc42cbac48190b8d3e4c9ce140838 |
completed | May 7, 2026, 4:56 p.m. |
| PD | Predicate disambiguation | batch_69fcb0fc69c88190800453eb57a7e62c |
completed | May 7, 2026, 3:34 p.m. |
| PDg | Predicate description generation | batch_69fcc42b9334819099929649b7ef68ea |
completed | May 7, 2026, 4:56 p.m. |
Created at: May 3, 2026, 4:30 p.m.