Triple
T8367096
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nabulsi soap |
E197154
|
entity |
| Predicate | pH |
P2070
|
FINISHED |
| Object | alkaline |
—
|
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: alkaline | Statement: [Nabulsi soap, pH, alkaline]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pH Context triple: [Nabulsi soap, pH, alkaline]
-
A.
acidityLevel
chosen
Indicates the degree or intensity of acidity associated with an entity, typically measured by pH or a comparable scale.
-
B.
electrolyte
Indicates a relationship where a substance functions as an electrolyte for another entity, typically by enabling or supporting ionic conduction in that context.
-
C.
isHydrophilic
Indicates that something has an affinity for water, tending to interact with or dissolve in it rather than repel it.
-
D.
containsNeutralHydrogen
Indicates that one entity has within it or is composed of neutral (non-ionized) hydrogen associated with the other entity.
-
E.
hardness
Indicates the degree to which one entity resists being scratched, indented, or deformed by another.
- 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_69ca82f2dbe48190aba982e75a0d94de |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb808cf80c8190941c3cc0248a5df2 |
completed | March 31, 2026, 8:06 a.m. |
| PD | Predicate disambiguation | batch_69cb70cd04b08190ab5f72afd22a7967 |
completed | March 31, 2026, 6:59 a.m. |
Created at: March 30, 2026, 6 p.m.