Triple
T16906805
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hebrew letter Ayin |
E424583
|
entity |
| Predicate | hasUseInAcronyms |
P63320
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Hebrew letter Ayin, hasUseInAcronyms, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasUseInAcronyms Context triple: [Hebrew letter Ayin, hasUseInAcronyms, yes]
-
A.
hasCommonAcronymUsage
Indicates that two terms share the same commonly used acronym in practice.
-
B.
isUsedInAbbreviation
Indicates that one entity functions as a shortened or abbreviated form of another entity.
-
C.
usesAbbreviationIn
chosen
Indicates that an entity is referred to by an abbreviated form within a specified context, source, or representation.
-
D.
hasAcronymOrigin
Indicates that an acronym is derived from or originates from a specific longer expression or name.
-
E.
isFamouslyUsedIn
Indicates that something is widely recognized or well-known for being used in a particular context, work, or situation.
- 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_69d889da3e8c8190a2b118f383f0beac |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e3ca39f9b08190b15106c6caf895ec |
completed | April 18, 2026, 6:15 p.m. |
| PD | Predicate disambiguation | batch_69e32b9489408190bcb2ede567ff5bf9 |
completed | April 18, 2026, 6:58 a.m. |
Created at: April 10, 2026, 5:30 a.m.