Triple
T28695458
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kawul |
E729401
|
entity |
| Predicate | isBasedOnPronunciationOf |
P40496
|
FINISHED |
| Object | Kaul |
—
|
NE NERFINISHED |
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: Kaul | Statement: [Kawul, isBasedOnPronunciationOf, Kaul]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isBasedOnPronunciationOf Context triple: [Kawul, isBasedOnPronunciationOf, Kaul]
-
A.
hasPronunciationDifferenceFrom
Indicates that two linguistic items differ in how they are pronounced.
-
B.
hasPhonologicalBasisFor
chosen
Indicates that one entity serves as the phonological source, motivation, or foundation for another entity.
-
C.
hasStandardPronunciationBasedOn
Indicates that one entity’s standard or canonical pronunciation is determined or derived from another entity’s pronunciation.
-
D.
isMorePronouncedIn
Indicates that a particular feature, quality, or effect appears with greater intensity or prominence in one context, entity, or condition than in another.
-
E.
basedOnWord
Indicates that one element is derived from, formed from, or directly influenced by a particular word.
- 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_69f043e60b6c8190ac2cd042e77fe6e9 |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69f658ee40088190b71e1219407690d0 |
completed | May 2, 2026, 8:05 p.m. |
| PD | Predicate disambiguation | batch_69f65760fd3081908ffe014a5e2bf069 |
completed | May 2, 2026, 7:58 p.m. |
Created at: April 28, 2026, 5:39 a.m.