Triple
T22737298
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arrhenius acid–base theory |
E562308
|
entity |
| Predicate | characterizesAcid |
P662
|
FINISHED |
| Object | producer of H+ ions in water |
—
|
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: producer of H+ ions in water | Statement: [Arrhenius acid–base theory, characterizesAcid, producer of H+ ions in water]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: characterizesAcid Context triple: [Arrhenius acid–base theory, characterizesAcid, producer of H+ ions in water]
-
A.
isMoreAcidicThan
Indicates that one substance has a lower pH (greater concentration of hydrogen ions) and thus a stronger acidic character than another substance.
-
B.
isWeakAcid
Indicates that a substance partially dissociates into ions in solution, characterizing it as a weak acid.
-
C.
acidityLevel
Indicates the degree or intensity of acidity associated with an entity, typically measured by pH or a comparable scale.
-
D.
characterizedBy
chosen
Indicates that one entity possesses a defining quality, feature, or attribute expressed by another entity.
-
E.
wineAcidityType
Indicates the type or category of acidity associated with a given wine.
- F. None of above.
Provenance (3 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. |
Created at: April 17, 2026, 3:22 p.m.