Triple
T32467675
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cistern Spring |
E829754
|
entity |
| Predicate | isAcidicOrAlkaline |
P2070
|
FINISHED |
| Object | slightly acidic to neutral |
—
|
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: slightly acidic to neutral | Statement: [Cistern Spring, isAcidicOrAlkaline, slightly acidic to neutral]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isAcidicOrAlkaline Context triple: [Cistern Spring, isAcidicOrAlkaline, slightly acidic to neutral]
-
A.
acidityLevel
chosen
Indicates the degree or intensity of acidity associated with an entity, typically measured by pH or a comparable scale.
-
B.
isMoreAcidicThan
Indicates that one substance has a lower pH (greater concentration of hydrogen ions) and thus a stronger acidic character than another substance.
-
C.
isWeakAcid
Indicates that a substance partially dissociates into ions in solution, characterizing it as a weak acid.
-
D.
exampleAcid
Indicates that a substance exhibits the characteristic properties or behavior of an acid in a given context.
-
E.
alkalinityProvidedBy
Indicates that the alkalinity of a system or environment is supplied, contributed, or caused by a specified source or agent.
- 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_69f3491ee87c81908cbf5890079c2af6 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c3532914819092d6de99dea68578 |
completed | May 3, 2026, 3:38 a.m. |
| PD | Predicate disambiguation | batch_69f6ba700a708190ab6db62791e43774 |
completed | May 3, 2026, 3:01 a.m. |
Created at: May 1, 2026, 12:57 a.m.