Triple
T23817796
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mesonyktikon |
E589141
|
entity |
| Predicate | mayBeAbbreviatedIn |
P153752
|
FINISHED |
| Object | parish practice |
—
|
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: parish practice | Statement: [Mesonyktikon, mayBeAbbreviatedIn, parish practice]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mayBeAbbreviatedIn Context triple: [Mesonyktikon, mayBeAbbreviatedIn, parish practice]
-
A.
canBeUsedWithAbbreviation
Indicates that one entity (such as a term, phrase, or expression) is suitable to be used together with a particular abbreviation.
-
B.
isAbbreviation
Indicates that one term is a shortened or abbreviated form of another term.
-
C.
usesAbbreviationOf
Indicates that one entity employs a shortened or abbreviated form of the name or designation of another entity.
-
D.
isCommonAbbreviation
Indicates that one term is a widely used shortened or abbreviated form of another term.
-
E.
isUsedInAbbreviation
Indicates that one entity functions as a shortened or abbreviated form of another entity.
- 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_69e25d18619081909c7fb89d8926f14a |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1c7ac0c688190a627b9b42c7587d5 |
completed | April 29, 2026, 8:56 a.m. |
| PD | Predicate disambiguation | batch_69f156036ad48190bc2ffdaf39218bcb |
completed | April 29, 2026, 12:51 a.m. |
| PDg | Predicate description generation | batch_69f158b0e320819090b947ee7eb14116 |
completed | April 29, 2026, 1:02 a.m. |
Created at: April 17, 2026, 7:58 p.m.