Triple
T14993366
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miro |
E373892
|
entity |
| Predicate | hasShortFormRelationTo |
P91672
|
FINISHED |
| Object | Slavic compound names |
—
|
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: Slavic compound names | Statement: [Miro, hasShortFormRelationTo, Slavic compound names]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasShortFormRelationTo Context triple: [Miro, hasShortFormRelationTo, Slavic compound names]
-
A.
hasShortFormRelationType
chosen
Indicates that one entity serves as an abbreviated, shortened, or acronym form of another entity.
-
B.
hasShort
Indicates that an entity possesses or is characterized by something of short length or duration.
-
C.
hasRelation
Indicates that there exists some specified relationship or association between two entities.
-
D.
isShort
Indicates that one entity has a relatively small height, length, or duration compared to a standard or to other entities.
-
E.
isShortFormOfMultiNames
Indicates that one term is a shortened or abbreviated form corresponding to multiple different full names.
- 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_69d85ccc84388190aa151e5173370c8d |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded716ebb481908224d2d4f7561b03 |
completed | April 15, 2026, 12:08 a.m. |
| PD | Predicate disambiguation | batch_69de9a6169b48190a679609febd2d0e3 |
completed | April 14, 2026, 7:49 p.m. |
Created at: April 10, 2026, 2:53 a.m.