Triple
T35255049
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | C III R for King Charles III |
E1018207
|
entity |
| Predicate | meaningOfIII |
P183178
|
FINISHED |
| Object | third of that name |
—
|
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: third of that name | Statement: [C III R for King Charles III, meaningOfIII, third of that name]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: meaningOfIII Context triple: [C III R for King Charles III, meaningOfIII, third of that name]
-
A.
meaningOfWord3
Indicates that one entity specifies or defines the sense or interpretation of a third word or term.
-
B.
meaningOfItmad
Indicates that one entity represents the meaning, interpretation, or semantic content of another entity referred to as "itmad."
-
C.
hasMeaningOfII
Indicates that one entity conveys, expresses, or carries the semantic content or sense of another entity.
-
D.
IkMeaning
Indicates that one entity conveys, defines, or encodes the semantic content or intended sense of another entity (such as a word, symbol, or expression).
-
E.
scoreMeaning_3
Indicates a specific interpretation or significance associated with a particular score or scoring outcome.
- 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_69f76de407d081909dfc3c419817ae93 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f798387ea481909f51303f53a22e52 |
completed | May 3, 2026, 6:47 p.m. |
| PD | Predicate disambiguation | batch_69f7961550f88190b7bb8a9155458b54 |
completed | May 3, 2026, 6:38 p.m. |
| PDg | Predicate description generation | batch_69f79798663481908d6bc48dd6a94ca6 |
completed | May 3, 2026, 6:44 p.m. |
Created at: May 3, 2026, 4:02 p.m.