Triple
T22737526
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arrhenius acid |
E562313
|
entity |
| Predicate | measurementRelatedTo |
P149531
|
FINISHED |
| Object | pH scale |
—
|
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: pH scale | Statement: [Arrhenius acid, measurementRelatedTo, pH scale]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: measurementRelatedTo Context triple: [Arrhenius acid, measurementRelatedTo, pH scale]
-
A.
relatedMeasure
Indicates that one measure is associated with or connected to another measure in a relevant way.
-
B.
measurement
Indicates a relationship where one entity quantifies or assigns a value to some property, attribute, or extent of another entity according to a defined scale or standard.
-
C.
measurementSetting
Indicates the specific conditions, parameters, or configuration under which a measurement is taken or recorded.
-
D.
measuredAs
Indicates that one entity’s quantity, value, or property is expressed or recorded using another entity as its measurement or unit.
-
E.
measureType
Indicates the specific kind or category of measurement that characterizes how a quantity or value is assessed.
- 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_69e24550859c81908727d91efc3a81b4 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f179707fd081909aed9b2f62b9f842 |
completed | April 29, 2026, 3:22 a.m. |
| PD | Predicate disambiguation | batch_69eed2a971c0819088af574e40c9343f |
completed | April 27, 2026, 3:06 a.m. |
| PDg | Predicate description generation | batch_69eeeb5681f88190821129ced752f190 |
completed | April 27, 2026, 4:51 a.m. |
Created at: April 17, 2026, 3:22 p.m.