Triple
T24842610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Small Apodeipnon |
E621655
|
entity |
| Predicate | isShorterFormOf |
P118797
|
FINISHED |
| Object | Apodeipnon |
—
|
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: Apodeipnon | Statement: [Small Apodeipnon, isShorterFormOf, Apodeipnon]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isShorterFormOf Context triple: [Small Apodeipnon, isShorterFormOf, Apodeipnon]
-
A.
isShortenedVariantOf
chosen
Indicates that one form of an expression is a shortened or abbreviated version of another, longer form.
-
B.
isShortFormOfMultiNames
Indicates that one term is a shortened or abbreviated form corresponding to multiple different full names.
-
C.
isRealFormOf
Indicates that one entity is the actual, physically existing or fully realized version of another entity, which may be abstract, conceptual, or a representation.
-
D.
isLesserKnownFormOf
Indicates that one entity is a less widely recognized or less commonly used variant, version, or form of another entity.
-
E.
isShortName
Indicates that one name is an abbreviated or shorter form of another name.
- 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_69e2fac185d48190a0a6073ad1f6b792 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f43043512481909501a3979cac9947 |
completed | May 1, 2026, 4:46 a.m. |
| PD | Predicate disambiguation | batch_69f420fd375c81908ea4a4e60b76ee8f |
completed | May 1, 2026, 3:41 a.m. |
Created at: April 18, 2026, 5:19 a.m.